Vehicular automation is the use of technology to assist or replace the operator of a vehicle such as a car, truck, aircraft, rocket, military vehicle, or boat.[2][3][4][5][6] Assisted vehicles are semi-autonomous, whereas vehicles that can travel without a human operator are autonomous.[3] The degree of autonomy may be subject to various constraints such as conditions. Autonomy is enabled by advanced driver-assistance systems (ADAS) of varying capacity.
Related technology includes advanced software, maps, vehicle changes, and support outside the vehicle.
Autonomy presents varying issues for road travel, air travel, and marine travel. Roads present the greatest complexity given the unpredictability of the driving environment, including diverse road designs, driving conditions, traffic, obstacles, and geographical/cultural differences.[7]
Autonomy implies that the vehicle is responsible for all perception, monitoring, and control functions.[8]
1: Driver assistance, the vehicle controls steering or speed autonomously in specific circumstances.
2: Partial automation, the vehicle controls both steering and speed autonomously in specific circumstances.
3: Conditional automation, the vehicle controls both steering and speed under normal environmental conditions, but requires the driver to be ready to take control in other circumstances.
4: High automation, the vehicle travels autonomously under normal environmental conditions, not requiring driver oversight.
5: Full autonomy, where the vehicle can complete travel autonomously in any environmental conditions.
Level 0 refers, for instance, to vehicles without adaptive cruise control. Level 1 and 2 refer to vehicles where one part of the driving task is performed by the ADAS under the responsibility/liability of the driver.
From level 3, the driver can transfer the driving task to the vehicle, but the driver must assume control when the ADAS reaches its limits. For instance an automated traffic jam pilot can drive in a traffic jam, but otherwise passes control to the driver. Level 5 refers to a vehicle that can handle any situation.[11]
Technology
Perception
The perception system is responsible for observing the environment. It must identify everything that could affect the trip, including obstacles and other issues.[12] Various makers use cameras, radar, lidar, sonar, and microphones that can collaboratively minimize errors.[12]
Further technological progress tends to combine several different sensors such as cameras, radars, laser radars, etc., to work in coordination with each other. They can further improve the ability to process information, actively eliminate some invalid information, help make the most accurate decisions, and reduce the occurrence of traffic accidents.[13]
Navigation systems are a necessary element in autonomous vehicles. The Global Positioning System (GPS) is used for navigation by air and water vehicles, and by land vehicles as well, particularly for off-road navigation.
For road vehicles, two approaches are prominent. One is to use maps that hold data about lanes and intersections, relying on the vehicle's perception system to fill in the details. The other is to use highly detailed maps that reduce the scope of realtime decision-making, but require significant maintenance resources as the environment evolves.[14] Some systems crowdsource their map updates, using the vehicles themselves to update the map to reflect changes such as construction or traffic that is then used by the entire vehicle fleet.[15]
Another potential source of information is the environment itself. Traffic data may be supplied by roadside monitoring systems and used to route vehicles to best use a limited road system.[16]
History
Automated vehicles in European Union legislation refer specifically to road vehicles (car, truck, or bus).[17] For those vehicles, a specific difference is legally defined between advanced driver-assistance system and autonomous/automated vehicles, based on liability differences.
AAA Foundation for Traffic Safety tested two automatic emergency braking systems: some designed to prevent crashes and others that aim to make a crash less severe. The test looked at popular models like the 2016 Volvo XC90, Subaru Legacy, Lincoln MKX, Honda Civic, and Volkswagen Passat. Researchers tested how well each system stopped when approaching moving and nonmoving targets. It found that systems capable of preventing crashes reduced vehicle speeds by twice that of the systems designed to mitigate crash severity. When the two test vehicles traveled within 30mph of each other, even those designed to simply lessen crash severity avoided crashes 60 percent of the time.[18]
Sartre
The SAfe Road TRains for the Environment (Sartre) project's goal was to enable platooning, in which a line of cars and trucks (a "train") follow a human-driven vehicle. Trains were predicted to provide comfort and allow the following vehicles to travel safely to a destination. Human drivers encountering a train could join and delegate driving to the human driver.[19]
Tests
Self-driving Uber vehicles were tested in Pittsburgh, Pennsylvania. The tests were paused after an autonomous car killed a woman in Arizona.[20][21] Automated busses have been tested in California.[22] In San Diego, California, an automated bus test used magnetic markers. The longitudinal control of automated truck platoons used millimeter wave radio and radar. Waymo and Tesla have conducted tests. Tesla FSD allows drivers to enter a destination and let the car take over.
Ford offers Blue Cruise, technology that allows geofenced cars to drive autonomously.[23]
Drivers are directed to stay attentive and safety warnings are implemented to alert the driver when corrective action is needed.[24]Tesla, Incorporated has one recorded incident that resulted in a fatality involving the automated driving system in the Tesla Model S.[25] The accident report reveals the accident was a result of the driver being inattentive and the autopilot system not recognizing the obstruction ahead.[25] Tesla has also had multiple instances where the vehicle crashed into a garage door. According to the book "The Driver in the Driverless Car: How Your Technology Choices Create the Future" a Tesla performed an update overnight automatically. The morning after the update the driver used his app to "summon" his car, it crashed into his garage door.
Another flaw with automated driving systems is that in situations where unpredictable events such as weather or the driving behavior of others may cause fatal accidents due to sensors that monitor the surroundings of the vehicle not being able to provide corrective action.[24]
To overcome some of the challenges for automated driving systems, novel methodologies based on virtual testing, traffic flow simulation and digital prototypes have been proposed,[26] especially when novel algorithms based on Artificial Intelligence approaches are employed which require extensive training and validation data sets.
The implementation of automated driving systems poses the possibility of changing built environments in urban areas, such as the expansion of suburban areas due to the increased ease of mobility.[27]
Challenges
Around 2015, several self-driving car companies including Nissan and Toyota promised self-driving cars by 2020. However, the predictions turned out to be far too optimistic.[28]
There are still many obstacles in developing fully autonomous Level 5 vehicles, which is the ability to operate in any conditions. Currently, companies are focused on Level 4 automation, which is able to operate under certain environmental circumstances.[28]
There is still debate about what an autonomous vehicle should look like. For example, whether to incorporate lidar to autonomous driving systems is still being argued. Some researchers have come up with algorithms using camera-only data that achieve the performance that rival those of lidar. On the other hand, camera-only data sometimes draw inaccurate bounding boxes, and thus lead to poor predictions. This is due to the nature of superficial information that stereo cameras provide, whereas incorporating lidar gives autonomous vehicles precise distance to each point on the vehicle.[28]
Technical challenges
Software Integration: Because of the large number of sensors and safety processes required by autonomous vehicles, software integration remains a challenging task. A robust autonomous vehicle should ensure that the integration of hardware and software can recover from component failures.[29]
Prediction and trust among autonomous vehicles: Fully autonomous cars should be able to anticipate the actions of other cars like humans do. Human drivers are great at predicting other drivers' behaviors, even with a small amount of data such as eye contact or hand gestures. In the first place, the cars should agree on traffic rules, whose turn it is to drive in an intersection, and so on. This scales into a larger issue when there exists both human-operated cars and self-driving cars due to more uncertainties. A robust autonomous vehicle is expected to improve on understanding the environment better to address this issue.[29]
Scaling up: The coverage of autonomous vehicles testing could not be accurate enough. In cases where heavy traffic and obstruction exist, it requires faster response time or better tracking algorithms from the autonomous vehicles. In cases where unseen objects are encountered, it is important that the algorithms are able to track these objects and avoid collisions.[29]
These features require numerous sensors, many of which rely on micro-electro-mechanical systems (MEMS) to maintain a small size, high efficiency, and low cost. Foremost among MEMS sensors in vehicles are accelerometers and gyroscopes to measure acceleration around multiple orthogonal axes—critical to detecting and controlling the vehicle's motion.
Societal challenges
One critical step to achieve the implementation of autonomous vehicles is the acceptance by the general public. It provides guidelines for the automobile industry to improve their design and technology. Studies have shown that many people believe that using autonomous vehicles is safer, which underlines the necessity for the automobile companies to assure that autonomous vehicles improve safety benefits. The TAM research model breaks down important factors that affect the consumer's acceptance into: usefulness, ease to use, trust, and social influence.[30]
The usefulness factor studies whether or not autonomous vehicles are useful in that they provide benefits that save consumers' time and make their lives simpler. How well the consumers believe autonomous vehicles will be useful compared to other forms of transportation solutions is a determining factor.[30]
The ease to use factor studies the user-friendliness of the autonomous vehicles. While the notion that consumers care more about ease to use than safety has been challenged. It still remains an important factor that has indirect effects on the public's intention to use autonomous vehicles.[30]
The trust factor studies the safety, data privacy and security protection of autonomous vehicles. A more trusted system has a positive impact on the consumer's decision to use autonomous vehicles.[30]
The social influence factor studies whether the influence of others would influence consumer's likelihood of having autonomous vehicles. Studies have shown that the social influence factor is positively related to behavioral intention. This might be due to the fact that cars traditionally serve as a status symbol that represents one's intent to use and his social environment.[30]
Real-time testing of autonomous vehicles is an inevitable part of the process. At the same time, vehicular automation regulators are faced with challenges to protect public safety and yet allow autonomous vehicle companies to test their products. Groups representing autonomous vehicle companies are resisting most regulations, whereas groups representing vulnerable road users and traffic safety are pushing for regulatory barriers. To improve traffic safety, the regulators are encouraged to find a middle ground that protects the public from immature technology while allowing autonomous vehicle companies to test the implementation of their systems.[31] There have also been proposals to adopt the aviation automation safety regulatory knowledge into the discussions of safe implementation of autonomous vehicles, due to the experience that has been gained over the decades by the aviation sector on safety topics.[32]
In some countries, specific laws and regulations apply to road traffic motor vehicles (such as cars, bus and trucks) while other laws and regulations apply to other ground vehicles such as tram, train or automated guided vehicles making them to operate in different environments and conditions.
(ab) "Automated driving system" refers to a vehicle system that uses both hardware and software to exercise dynamic control of a vehicle on a sustained basis.
(ac) "Dynamic control" refers to carrying out all the real-time operational and tactical functions required to move the vehicle. This includes controlling the vehicle's lateral and longitudinal motion, monitoring the road environment, responding to events in the road traffic environment, and planning and signalling for manoeuvres.[33]
This amendment will enter into force on 14 July 2022, unless it is rejected before 13 January 2022.[34]
An automated driving feature must be described sufficiently clearly so that it is distinguished from an assisted driving feature.
There are two clear states – a vehicle is either assisted with a driver being supported by technology or automated where the technology is effectively and safely replacing the driver.
Ground vehicles employing automation and teleoperation include shipyard gantries, mining trucks, bomb-disposal robots, robotic insects, and driverless tractors.
There are many autonomous and semi-autonomous ground vehicles being made for the purpose of transporting passengers. One such example is the free-ranging on grid (FROG) technology which consists of autonomous vehicles, a magnetic track and a supervisory system. The FROG system is deployed for industrial purposes in factory sites and has been in use since 1999 on the ParkShuttle, a PRT-style public transport system in the city of Capelle aan den IJssel to connect the Rivium business park with the neighboring city of Rotterdam (where the route terminates at the Kralingse Zoom metro station). The system experienced a crash in 2005[36] that proved to be caused by a human error.[37]
Applications for automation in ground vehicles include the following:
Anti-lock braking system (ABS) (also Emergency Braking Assistance (EBA)), often coupled with Electronic brake force distribution (EBD), which prevents the brakes from locking and losing traction while braking. This shortens stopping distances in most cases and, more importantly, allows the driver to steer the vehicle while braking.
Traction control system (TCS) actuates brakes or reduces throttle to restore traction if driven wheels begin to spin.
Four wheel drive (AWD) with a centre differential. Distributing power to all four wheels lessens the chances of wheel spin. It also suffers less from oversteer and understeer.
Electronic Stability Control (ESC) (also known for Mercedes-Benz proprietary Electronic Stability Program (ESP), Acceleration Slip Regulation (ASR) and Electronic differential lock (EDL)). Uses various sensors to intervene when the car senses a possible loss of control. The car's control unit can reduce power from the engine and even apply the brakes on individual wheels to prevent the car from understeering or oversteering.
Extensive automation for cars focuses on either introducing robotic cars or modifying modern car designs to be semi-autonomous.
Semi-autonomous designs could be implemented sooner as they rely less on technology that is still at the forefront of research. An example is the dual mode monorail. Groups such as RUF (Denmark) and TriTrack (USA) are working on projects consisting of specialized private cars that are driven manually on normal roads but also that dock onto a monorail/guideway along which they are driven autonomously.
As a method of automating cars without extensively modifying the cars as much as a robotic car, Automated highway systems (AHS) aims to construct lanes on highways that would be equipped with, for example, magnets to guide the vehicles. Automation vehicles have auto-brakes named as Auto Vehicles Braking System (AVBS). Highway computers would manage the traffic and direct the cars to avoid crashes.
In 2006, The European Commission has established a smart car development program called the Intelligent Car Flagship Initiative.[38] The goals of that program include:
Robotic car or self-driving car which may result in less-stressed "drivers", higher efficiency (the driver can do something else), increased safety and less pollution (e.g. via completely automated fuel control)
Singapore also announced a set of provisional national standards on January 31, 2019, to guide the autonomous vehicle industry. The standards, known as Technical Reference 68 (TR68), will promote the safe deployment of fully driverless vehicles in Singapore, according to a joint press release by Enterprise Singapore (ESG), Land Transport Authority (LTA), Standards Development Organisation and Singapore Standards Council (SSC).[41]
Shuttle
ParkshuttleNavya Autonom ShuttleEasymile EZ10King Long Apolong
Since 1999, the 12-seat/10-standing ParkShuttle has been operating on an 1.8 kilometres (1.1mi) exclusive right of way in the city of Capelle aan den IJssel in The Netherlands. The system uses small magnets in the road surface to allow the vehicle to determine its position. The use of shared autonomous vehicles was trialed around 2012 in a hospital car park in Portugal.[42] From 2012 to 2016, the European Union funded CityMobil2 project examined the use of shared autonomous vehicles and passenger experience including short term trials in seven cities. This project led to the development of the EasyMile EZ10.[43]
In the 2010s, self-driving shuttle became able to run in mixed traffic without the need for embedded guidance markers.[44] So far the focus has been on low speed, 20 miles per hour (32km/h), with short, fixed routes for the "last mile" of journeys. This means issues of collision avoidance and safety are significantly less challenging than those for automated cars, which seek to match the performance of conventional vehicles. Many trials have been undertaken, mainly on quiet roads with little traffic or on public pathways or private roadways and specialised test sites.[citation needed] The capacity of different models varies significantly, between 6-seats and 20-seats. (Above this size there are conventional buses that have driverless technology installed.)
In December 2016, the Jacksonville Transportation Authority has announced its intention to replace the Jacksonville Skyway monorail with driverless vehicles that would run on the existing elevated superstructure as well as continue onto ordinary roads.[45] The project has since been named the "Ultimate Urban Circulator" or "U2C" and testing has been carried out on shuttles from six different manufacturers. The cost of the project is estimated at $379 million.[46]
In January 2017, it was announced the ParkShuttle system in the Netherlands will be renewed and expanded including extending the route network beyond the exclusive right of way so vehicles will run in mixed traffic on ordinary roads.[47] The plans were delayed and the extension into mixed traffic was expected in 2021.[48]
In July 2018, Baidu stated it had built 100 of its 8-seat Apolong model, with plans for commercial sales.[49] As of July 2021, they had not gone into volume production.
In December 2020, Toyota showcased its 20-passenger "e-Palette" vehicle, which is due to be used at the 2021 Tokyo Olympic Games.[51] Toyota announced it intends to have the vehicle available for commercial applications before 2025.[52]
In January 2021, Navya released an investor report which predicted global autonomous shuttle sales will reach 12,600 units by 2025, with a market value of EUR 1.7 billion.[53]
In June 2021, Chinese maker Yutong claimed to have delivered 100 models of its 10-seat Xiaoyu 2.0 autonomous bus for use in Zhengzhou. Testing has been carried out in a number of cities since 2019 with trials open to the public planned for July 2021.[54]
Self-driving shuttles are already in use on some private roads, such as at the Yutong factory in Zhengzhou where they are used to transport workers between buildings of the world's largest bus factory.[55]
Trials
A large number of trials have been conducted since 2016, with most involving only one vehicle on a short route for a short period of time and with an onboard conductor. The purpose of the trials has been to both provide technical data and to familiarize the public with the driverless technology. A 2021 survey of over 100 shuttle experiments across Europe concluded that low speed – 15–20 kilometres per hour (9.3–12.4mph) – was the major barrier to implementation of autonomous shuttle buses. The current cost of the vehicles at €280,000 and the need for onboard attendants were also issues.[56]
In October 2016, BestMile started trials in Neuhausen am Rheinfall, claiming to be the world's first solution for managing hybrid fleets with both autonomous and non-autonomous vehicles.[57] The test ended in October 2021.[58]
At the end of 2016, the Olli was tested in Washington D.C.[59] In 2020, a four-month trial was undertaken at the United Nations ITCILO campus in Turin, Italy to provide transport shuttle to employees and guests within the campus.[60]
In August 2017, a driverless four seat shuttle was trialed at Texas A&M university as part of its "Transportation Technology Initiative" in a project run by academics and students on the campus.[66][67] Another trial, this time using Navya vehicles, was run in 2019 from September to November.[68]
In October 2017, RDM Group began a trial service with two seat vehicles between Trumpington Park and Ride and Cambridge railway station along the guided busway, for possible use as an after hours service once the regular bus service has stopped each day.[69]
EasyMile has had longer term trials at Wageningen University and Lausanne as well as short trials in Darwin,[70]Dubai, Helsinki, San Sebastian, Sophia Antipolis, Bordeaux[71] and Tapei[72] In December 2017, a trial began in Denver running at 5 miles per hour (8.0km/h) on a dedicated stretch of road.[73] EasyMile was operating in ten U.S. states, including California, Florida, Texas, Ohio, Utah, and Virginia before U.S. service was suspended after a February 2020 injury.[74] In August 2020 EasyMile was operating shuttles in 16 cities across the United States, including Salt Lake City, Columbus, Ohio, and Corpus Christi, Texas.[75] In October 2020 a new trial was launched in Fairfax, Virginia.[76] In August 2021 a one-year trial was launched at the Colorado School of Mines in Golden, Colorado. The trial uses nine vehicles (with seven active at any time) and provides a 5–10 minute service along three routes at a maximum speed of 12mph (19km/h). At the time of launch this was the largest such trial in the United States.[77][78] In November 2021, EasyMile became the first driverless solutions provider in Europe authorized to operate at Level 4 in mixed traffic, on a public road. "EZ10" has been making test runs on a medical campus in the southwestern city of Toulouse since March.[79][80]
Westfield Autonomous Vehicles "POD"
In 2017 and 2018, using a modified version of the UltraPRT called "POD", four vehicles were used as part of the GATEway project trial conducted in Greenwich in south London on a 3.4 kilometres (2.1mi) route.[81] A number of other trials have been conducted in Birmingham, Manchester, Lake District National Park, University of the West of England and Filton Airfield.[82]
In February 2018, the ten passenger (six seated), 12 miles per hour (19km/h), autonomous pods which are capable of joining to form a bus, were demonstrated at the World Government Summit in Dubai. The demonstration was a collaboration with between Next-Future and Dubai's Roads and Transport Authority and the vehicles are under consideration for deployment there.[83]
In July 2018, a driverless eight seater shuttle bus was trialed at the 2018 Shanghai expo after tests in Xiamen and Chongqing cities as part of Project Apollo, a mass-produced autonomous vehicle project launched by a consortium including Baidu.[84][85][86]
Testing with the first generation vehicle in 2019 at the Boao Forum for Asia and in Zhengzhou.[96] The 10-seat second generation vehicle has been delivered to Guangzhou, Nanjing, Zhengzhou, Sansha, Changsha with public trials due to commence in July 2021 in Zhengzhou.[54][97]
In July 2020, a trial service began in Changhua city in Taiwan, connecting four tourism factories in Changhua Coastal Industrial Park along a 7.5km (4.7mi), with plans to extend the route to 12.6km (7.8mi) to serve tourist destinations.[98] In January 2021, Level 4 "WinBus" got a license for one-year experimental sandbox operation.[99]
In December 2020, Eiheiji town started test operation of driverless autonomous driving mobility services by making use of a remotely-operated autonomous driving system.[100]AIST Human-Centered Mobility Research Center modified Yamaha Motor's electric "Land Car" and the tracing road of an abandoned Eiheiji railway line. This system was legally approved as Level 3.[101]
In March 2023, "ZEN drive Pilot" became the first legally approved Level 4 Automatic operation device under the amended "Road Traffic Act" of 2023.[102]
WeRide "Mini Robobus"
In January 2021, WeRide began testing its Mini Robobus on Guangzhou International Bio Island.[103] In June 2021, the company also launched trials at Nanjing.
During the 2021 Tokyo Summer Olympics, a fleet of 20 vehicles was used to ferry athletes and others around the Athletes' Village. Each vehicle could carry 20 people or 4 wheelchairs and had a top speed of 20mph (32km/h).[104] (The event also used 200 driver operated variants called the "Accessible People Movers (APM)", to take athletes to their events.) On August 27, 2021, Toyota suspended all "e-Pallete" services at the Paralympics after a vehicle collided with and injured a visually impaired pedestrian,[105] and restarted on August 31 with improved safety measures.[106]
The United Kingdom's first autonomous bus, currently on trial with Stagecoach Manchester
Autonomous buses are proposed as well as self driving cars and trucks. Grade 2 level automated minibuses were trialed for a few weeks in Stockholm.[108][109] China has a small fleet of self-driving public buses in the tech district of Shenzhen, Guangdong.[110]
The first autonomous bus trial in the United Kingdom commenced in mid-2019, with an Alexander Dennis Enviro200 MMC single-decker bus modified with autonomous software from Fusion Processing able to operate in driverless mode within Stagecoach Manchester's Sharston bus depot, performing tasks such as driving to the washing station, refuelling point and then parking at a dedicated parking space in the depot.[111] Passenger-carrying driverless bus trials in Scotland commenced in January 2023, with a fleet of five identical vehicles to the Manchester trial used on a 14 miles (23km)Stagecoach Fife park-and-ride route across the Forth Road Bridge, from the north bank of the Forth to Edinburgh Park station.[112][113]
In July 2020 in Japan, AIST Human-Centered Mobility Research Center with Nippon Koei and Isuzu started a series of demonstration tests for mid-sized buses, Isuzu "Erga Mio" with autonomous driving systems, in five areas; Ōtsu city in Shiga prefecture, Sanda city in Hyōgo Prefecture and other three areas in sequence.[116][117][118]
In October 2023, Imagry, an Israeli AI startup, introduced its mapless autonomous driving solution at Busworld Europe, leveraging a real-time image recognition system and a spatial deep convolutional neural network (DCNN) to mimic human driving behavior.[119]
The concept for autonomous vehicles has been applied for commercial uses, such as autonomous or nearly autonomous trucks.
Companies such as Suncor Energy, a Canadian energy company, and Rio Tinto Group were among the first to replace human-operated trucks with driverless commercial trucks run by computers.[120] In April 2016, trucks from major manufacturers including Volvo and the Daimler Company completed a week of autonomous driving across Europe, organized by the Dutch, in an effort to get self-driving trucks on the road. With developments in self-driving trucks progressing, U.S. self-driving truck sales is expected to reach 60,000 by 2035 according to a report released by IHS Incorporated in June 2016.[121]
As reported in June 1995 in Popular Science magazine, self-driving trucks were being developed for combat convoys, whereby only the lead truck would be driven by a human and the following trucks would rely on satellite, an inertial guidance system and ground-speed sensors.[122]Caterpillar Incorporated made early developments in 2013 with the Robotics Institute at Carnegie Mellon University to improve efficiency and reduce cost at various mining and construction sites.[123]
From PWC's Strategy & Report,[124] self driving trucks will be the source of concern around how this technology will impact around 3 million truck drivers in the US, as well as 4 million employees in support of the trucking economy in gas stations, restaurants, bars and hotels. At the same time, some companies like Starsky, are aiming for Level 3 Autonomy, which would see the driver playing a control role around the truck's environment. The company's project, remote truck driving, would give truck drivers a greater work-life balance, enabling them to avoid long periods away from their home. This would however provoke a potential mismatch between the driver's skills with the technological redefinition of the job.
Companies that buy driverless trucks could massively cut costs: human drivers would no longer be required, companies' liabilities due to truck accidents would diminish, and productivity would increase (as the driverless truck doesn't need to rest). The usage of self driving trucks will go hand in hand with the use of real-time data to optimize both efficiency and productivity of the service delivered, as a way to tackle traffic congestion for example. Driverless trucks could enable new business models that would see deliveries shift from day time to night time or time slots in which traffic is less heavily dense.
Suppliers
Company
Details
Waymo Semi
In March 2018, Waymo, the automated vehicle company spun off from Google parent company Alphabet Incorporated, announced it was applying its technology to semi trucks. In the announcement, Waymo noted it would be using automated trucks to move freight related to Google's data centers in the Atlanta, Georgia area. The trucks will be manned and operated on public roads.[125]
Uber Semi
In October 2016, Uber completed the first driverless operation of an automated truck on public roads, delivering a trailer of Budweiser beer from Fort Collins, Colorado to Colorado Springs.[126] The run was completed at night on Interstate 25 after extensive testing and system improvements in cooperation with the Colorado State Police. The truck had a human in the cab but not sitting in the driver's seat, while the Colorado State Police provided a rolling closure of the highway.[127] At the time, Uber's automated truck was based primarily on technology developed by Otto, which Uber acquired in August 2016.[128] In March 2018, Uber announced it was using its automated trucks to deliver freight in Arizona, while also leveraging the UberFreight app to find and dispatch loads.[129]
Embark Semi
In February 2018, Embark Trucks announced it had completed the first cross-country trip of an automated semi, driving 2,400 miles from Los Angeles, California to Jacksonville, Florida on Interstate 10.[130] This followed a November 2017 announcement that it had partnered with Electrolux and Ryder to test its automated truck by moving Frigidaire refrigerators from El Paso, Texas to Palm Springs, California.[131]
Tesla Semi
In November 2017 Tesla, Incorporated, owned by Elon Musk, revealed a prototype of the Tesla Semi and announced that it would go into production. This long-haul, electric semi-truck can drive itself and move in "platoons" that automatically follow a lead vehicle. It was disclosed in August 2017 that it sought permission to test the vehicles in Nevada.[132]
Starsky Robotics
In 2017, Starsky Robotics unveiled its technology that allows to make trucks autonomous. Unlike its bigger competitors in this industry that aims to tackle Level 4 and 5 Autonomy, Starsky Robotics is aiming at producing Level 3 Autonomy trucks, in which the human drivers should be prepared to respond to a "request to intervene" in case anything goes wrong.
Pronto AI
In December 2018, Anthony Levandowski unveiled his new autonomous driving company, Pronto, which is building L2 ADAS technology for the commercial trucking industry. The company is based in San Francisco, California.[133]
Motorcycles
Several self-balancing autonomous motorcycles were demonstrated in 2017 and 2018 from BMW, Honda and Yamaha.[134][135][136]
Inspired by the Uni-cub, Honda implemented a self-balancing technology into their motorcycles. Due to the weight of motorcycles, it is often a challenge for motorcycle owners to keep balance of their vehicles at low speeds or at a stop. Honda's motorcycle concept has a self-balancing feature that will keep the vehicle upright. It automatically lowers the center of balance by extending the wheelbase. It then takes control of the steering to keep the vehicle balanced. This allows users to navigate the vehicle more easily when walking or driving in stop and go traffic. However, this system is not for high speed driving.[134][137]
BMWs Motorrad Vision concept motorcycle
BMW Motorrad developed the ConnectRide self driving motorcycle in order to push the boundaries of motorcycle safety. The autonomous features of the motorcycle include emergency braking, negotiating intersections, assisting during tight turns, and front impact avoidance. These are features similar to current technologies that are being developed and implemented in autonomous cars. This motorcycle can also fully drive on its own at normal driving speed, making turns and returning to a designated location. It lacks the self standing feature that Honda has implemented.[138]
Yamaha's riderless motorcycle
“Motoroid” can hold its balance, autonomously driving, recognizing riders and go to a designated location with a hand gesture. Yamaha used the “Human beings react a hell of a lot quicker” research philosophy into the motoroid. The idea is that the autonomous vehicle is not attempting to replace human beings, but to augment the abilities of the human with advanced technology. They have tactile feedback such as a gentle squeeze to a rider's lower back as a reassuring caress at dangerous speeds, as if the vehicle was responding and communicating with the rider. Their goal is to “meld” the machine and human together to form one experience.[139]
Harley-Davidson
While their motorcycles are popular, one of the largest problems of owning a Harley-Davidson is the reliability of the vehicle. It is difficult to manage the weight of the vehicle at low speeds and picking it up from the ground can be a difficult process even with correct techniques. In order to attract more customers, they filed a patent for having a gyroscope at the back of the vehicle that will keep the balance of the motorcycle for the rider at low speeds. After 3 miles per hour, the system disengages. However anything below that, the gyroscope can handle the balance of the vehicle which means it can balance even at a stop. This system can be removed if the rider feels ready without it (meaning it is modular).[137]
The concept for autonomous vehicles has also been applied for commercial uses, like for autonomous trains. The world's first driverless urban transit system is the Port Island Line in Kobe, Japan, opened in 1981.[140] The first self-driving train in the UK was launched in London on the Thameslink route.[141]
An automated guided vehicle or automatic guided vehicle (AGV) is a mobile robot that follows markers or wires in the floor, or uses vision, magnets, or lasers for navigation. They are most often used in industrial applications to move materials around a manufacturing facility or warehouse. Application of the automatic guided vehicle had broadened during the late 20th century.
Aircraft have received much attention for automation, especially for navigation. A system capable of autonomously navigating a vehicle (especially aircraft) is known as autopilot.
Various industries such as packages and food have experimented with delivery drones. Traditional and new transportation companies are competing in the market. For example, UPS Flight Forward, Alphabet Wing, and Amazon Prime Air are all developing delivery drones.[143]Zipline, an American medical drone delivery company, has the largest active drone delivery operations in the world, and its drones are capable of Level 4 autonomy.[144]
However, even if technology seems to allow for those solutions to function correctly as various tests of various companies show, the main throwback to the market launch and use of such drones is inevitably the legislation in place and regulatory agencies have to decide on the framework they wish to take to draft regulation. This process is in different phases across the world as each country will tackle the topic independently. For example, Iceland's government and departments of transport, aviation, police have already started issuing licenses for drone operations. It has a permissive approach and together with Costa Rica, Italy, the UAE, Sweden and Norway, has a fairly unrestricted legislation on commercial drone use. Those countries are characterized by a body of regulation that may give operational guidelines or require licensing, registration and insurance.[145]
On the other side, other countries have decided to ban, either directly (outright ban) or indirectly (effective ban), the use of commercial drones. The RAND Corporation thus notes the difference between countries forbidding drones and those that have a formal process for commercial drone licensing, but requirements are either impossible to meet or licenses do not appear to have been approved. In the US, United Parcel Service is the only delivery service with the Part 135 Standard certification that is required to use drones to deliver to real customers.[143]
However, most countries seem to be struggling on the integration of drones for commercial uses into their aviation regulatory frameworks. Thus, constraints are placed on the use of those drones such as that they must be operating within the visual line of sight (VLOS) of the pilot and thus limiting their potential range. This would be the case of the Netherlands and Belgium. Most countries let pilots operate outside the VLOS but is subject to restrictions and pilot ratings, which would be the case of the US.
The general trend is that legislation is moving fast and laws are constantly being reevaluated. Countries are moving towards a more permissive approach but the industry still lacks infrastructures to ensure the success of such a transition. To provide safety and efficiency, specialized training courses, pilot exams (type of UAV and flying conditions) as well as liability management measures regarding insurances may need to be developed.
There is a sense of urgency related to this innovation as competition is high and companies lobby to integrate them rapidly in their products and services offerings. Since June 2017, the US Senate legislation reauthorized the Federal Aviation Administration and the Department of Transportation to create a carrier certificate allowing for package deliveries by drones.[146]
Autonomous boats can provide security, perform research, or conduct hazardous or repetitive tasks (such as guiding a large ship into a harbor or transporting cargo).
Sea Machines
Sea Machines offers an autonomous system for workboats. While it requires a human operator to oversee its actions, the system takes care of many active domain perception and navigation duties that normally a few members of the crew would have to do. They use AI to have situational awareness for different ships within the route. They use camera, lidar, and proprietary software to inform the operator of its status.[147][148]
Buffalo Automation
Buffalo Automation, a team formed from the University of Buffalo, creates technology for semi-autonomous features for boats. They started by creating navigation assist technologies for freighters called AutoMate, which is like having another very experienced “first mate” that will look out for the ship.[149] The system helps navigate difficult waterways.[148][150]
Autonomous Marine Systems
This Massachusetts based company has led the forefront of unmanned sailing drones. The Datamarans are autonomously sailing to collect ocean data. They are created to enable large payload packages. Due to the automated system and their solar panels, they are able to navigate for longer periods of time. Their technologies on advanced metocean surveys, collect “wind velocity profiles with altitude, water current, conductivity, temperature profiles with depth, hi-resolution bathymetry, sub-bottom profiling, [and] magnetometer measurements”.[151][148]
Mayflower
The autonomous vessel called Mayflower is expected to be the first large ship that makes an unmanned transatlantic journey.[152]
Saildrones
This autonomous unmanned vessel uses both solar and wind energy to navigate.[153]
Underwater vehicles have been a focus for automation for tasks such as pipeline inspection and underwater mapping.
Assistance robots
Spot
This four-legged robot was created to be able to navigate through many different terrain outdoors and indoors. It can walk on its own without colliding into anything. It uses many different sensors, including 360-degree vision cameras and gyroscopes. It is able to keep its balance even when pushed over. This vehicle, while it is not intended to be ridden, can carry heavy loads for construction workers or military personnel through rough terrain.[154]
By self-driving vehicles, we mean those listed as automated vehicles by the Secretary of State for Transport under the Automated and Electric Vehicles Act 2018.
—The Highway Code – 27/07/2022, p. 4
The UK considers the way to update its British Highway Code for automated code:
Automated vehicles can perform all the tasks involved in driving, in at least some situations. They differ from vehicles fitted with assisted driving features (like cruise control and lane-keeping assistance), which carry out some tasks, but where the driver is still responsible for driving. If you are driving a vehicle with assisted driving features, you MUST stay in control of the vehicle.
If the vehicle is designed to require you to resume driving after being prompted to, while the vehicle is driving itself, you MUST remain in a position to be able to take control. For example, you should not move out of the driving seat. You should not be so distracted that you cannot take back control when prompted by the vehicle.
Through the autonomy level, it is shown that the higher the level of autonomy, the less control humans have on their vehicles (highest level of autonomy needing zero human interventions). One concerns regarding the development of vehicular automation is related to the end-users’ trust in the technology that controls automated vehicles.[156] According to a nationally conducted survey made by Kelley Blue Book (KBB) in 2016, it was shown that the majority of people would choose to have a certain level of control behind their own vehicle rather than having the vehicle operate in Level 5 autonomy, or in other words, complete autonomy.[157] According to half of the respondents, the idea of safety in an autonomous vehicle diminishes as the level of autonomy increases.[157] This distrust of autonomous driving systems proved to be unchanged throughout the years when a nationwide survey conducted by AAA Foundation for Traffic and Safety (AAAFTS) in 2019 showed the same outcome as the survey KBB did in 2016. AAAFTS survey showed that even though people have a certain level of trust in automated vehicles, most people also have doubts and distrust towards the technology used in autonomous vehicles, with most distrust in Level 5 autonomous vehicles.[158] It is shown by AAAFTS’ survey that people's trust in autonomous driving systems increased when their level of understanding increased.[158]
Malfunctions
A prototype of an autonomous Uber car being tested in San Francisco, California
The possibility of autonomous vehicle's technology to experience malfunctions is also one of the causes of user's distrust in autonomous driving systems.[156] It is the concern that most respondents voted for in the AAAFTS survey.[158] Even though autonomous vehicles are made to improve traffic safety by minimizing crashes and their severity,[158] they still caused fatalities. At least 113 autonomous vehicle related accidents have occurred until 2018.[159] In 2015, Google declared that their automated vehicles experienced at least 272 failures, and drivers had to intervene around 13 times to prevent fatalities.[160] Furthermore, other automated vehicles’ manufacturers also reported automated vehicles’ failures, including the Uber car incident.[160] A self-driving Uber car accident in 2018 is an example of autonomous vehicle accidents that are also listed among self-driving car fatalities. A report made by the National Transportation Safety Board (NTSB) showed that the self-driving Uber car was unable to identify the victim in a sufficient amount of time for the vehicle to slow down and avoid crashing into the victim.[161]
Ethical
Another concern related to vehicle automation is its ethical issues. In reality, autonomous vehicles can encounter inevitable traffic accidents. In such situations, many risks and calculations need to be made in order to minimize the amount of damage the accident could cause.[162] When a human driver encounters an inevitable accident, the driver will take a spontaneous action based on ethical and moral logic. However, when a driver has no control over the vehicle (Level 5 autonomy), the system of an autonomous vehicle needs to make that quick decision.[162] Unlike humans, autonomous vehicles can only make decisions based on what it is programmed to do.[162] However, the situation and circumstances of accidents differ from one another, and any one decision might not be the best decision for certain accidents. Based on two research studies in 2019,[163][164] the implementation of fully automated vehicles in traffic where semi-automated and non-automated vehicles are still present might lead to complications.[163] Some flaws that still need consideration include the structure of liability, distribution of responsibilities,[164] efficiency in decision making, and the performance of autonomous vehicles with its diverse surroundings.[163] Still, researchers Steven Umbrello and Roman V. Yampolskiy propose that the value sensitive design approach is one method that can be used to design autonomous vehicles to avoid some of these ethical issues and design for human values.[165]
In transportation, platooning or flocking is a method for driving a group of vehicles together. It is meant to increase the capacity of roads via an automated highway system.
A self-driving car, also known as a autonomous car (AC), driverless car, robotaxi, robotic car or robo-car, is a car that is capable of operating with reduced or no human input. Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling the vehicle, which includes navigating from origin to destination.
Automatic parking is an autonomous car-maneuvering system that moves a vehicle from a traffic lane into a parking spot to perform parallel, perpendicular, or angle parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking maneuver is achieved by means of coordinated control of the steering angle and speed which takes into account the actual situation in the environment to ensure collision-free motion within the available space.
An uncrewed vehicle or unmanned vehicle is a vehicle without a person on board. Uncrewed vehicles can either be under telerobotic control—remote controlled or remote guided vehicles—or they can be autonomously controlled—autonomous vehicles—which are capable of sensing their environment and navigating on their own.
Waymo LLC, formerly known as the Google Self-Driving Car Project, is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc.
A driverless tractor is an autonomous farm vehicle that delivers a high tractive effort at slow speeds for the purposes of tillage and other agricultural tasks. It is considered driverless because it operates without the presence of a human inside the tractor itself. Like other unmanned ground vehicles, they are programmed to independently observe their position, decide speed, and avoid obstacles such as people, animals, or objects in the field while performing their task. The various driverless tractors are split into full autonomous technology and supervised autonomy. The idea of the driverless tractor appears as early as 1940, but the concept has significantly evolved in the last few years. The tractors use GPS and other wireless technologies to farm land without requiring a driver. They operate simply with the aid of a supervisor monitoring the progress at a control station or with a manned tractor in lead.
Experiments have been conducted on self-driving cars since 1939; promising trials took place in the 1950s and work has proceeded since then. The first self-sufficient and truly autonomous cars appeared in the 1980s, with Carnegie Mellon University's Navlab and ALV projects in 1984 and Mercedes-Benz and Bundeswehr University Munich's Eureka Prometheus Project in 1987. In 1988, William L Kelley patented the first modern collision Predicting and Avoidance devices for Moving Vehicles. Then, numerous major companies and research organizations have developed working autonomous vehicles including Mercedes-Benz, General Motors, Continental Automotive Systems, Autoliv Inc., Bosch, Nissan, Toyota, Audi, Volvo, Vislab from University of Parma, Oxford University and Google. In July 2013, Vislab demonstrated BRAiVE, a vehicle that moved autonomously on a mixed traffic route open to public traffic.
A robotaxi, also known as robot taxi, robo-taxi, self-driving taxi or driverless taxi, is an autonomous car operated for a ridesharing company.
Increases in the use of autonomous car technologies are causing incremental shifts in the responsibility of driving, with the primary motivation of reducing the frequency of traffic collisions. Liability for incidents involving self-driving cars is a developing area of law and policy that will determine who is liable when a car causes physical damage to persons or property. As autonomous cars shift the responsibility of driving from humans to autonomous car technology, there is a need for existing liability laws to evolve to reasonably identify the appropriate remedies for damage and injury. As higher levels of autonomy are commercially introduced, the insurance industry stands to see higher proportions of commercial and product liability lines of business, while the personal automobile insurance line of business shrinks.
Torc Robotics (Torc), an independent subsidiary of Daimler Truck, is an American autonomous truck company headquartered in Blacksburg, Virginia, with operations in Albuquerque, New Mexico; Austin, Texas; and Stuttgart, Germany. Torc is testing autonomous trucks in Virginia, New Mexico, and Texas and is taking a pure play approach to commercialization – focusing at first on one platform in one region.
Oxa is an autonomous vehicle software company, headquartered in Oxfordshire, England, and founded by Paul Newman and Ingmar Posner.
Cruise LLC is an American self-driving car company headquartered in San Francisco, California. Founded in 2013 by Kyle Vogt and Dan Kan, Cruise tests and develops autonomous car technology. The company is a largely autonomous subsidiary of General Motors. Following a series of incidents, it suspended operations in October 2023, and Kyle Vogt resigned as CEO in November 2023. The company began returning its vehicles to public roads in May 2024.
A self-driving truck, also known as an autonomous truck or robo-truck, is an application of self-driving technology aiming to create trucks that can operate without human input. Alongside light, medium, and heavy-duty trucks, many companies are developing self-driving technology in semi trucks to automate highway driving in the delivery process.
Avride Inc. is a developer of self-driving cars and delivery robots. It is organized in Delaware and headquartered in Austin, Texas, with offices in Ann Arbor, Michigan, Tel Aviv, and Seoul. It is a subsidiary of Nebius Group and was formerly an affiliate of Yandex called Yandex SDG.
Smart Columbus is an innovation organization in Columbus, Ohio. The initiative is led by the City of Columbus and the Columbus Partnership, a nonprofit organization for development in Central Ohio. Smart Columbus was founded in 2016 to utilize $50 million in grant awards toward technology, transportation, and environmental developments.
Aurora Innovation, Inc., doing business as Aurora, is a self-driving vehicle technology company based in Pittsburgh, Pennsylvania. Aurora has developed the Aurora Driver, a computer system that can be integrated into cars for autonomous driving. Aurora was co-founded by Chris Urmson, the former chief technology officer of Google/Alphabet Inc.'s self-driving team, which became known as Waymo, as well as by Sterling Anderson, former head of Tesla Autopilot, and Drew Bagnell, former head of Uber's autonomy and perception team.
Plus is an American autonomous driving technology company based in Santa Clara, California. The company develops Level 4 autonomous driving technology for commercial freight trucks. In 2019, the company completed the first cross-country driverless freight delivery in the U.S. The company's self-driving system began to be used commercially in 2021.
The impact of self-driving cars is anticipated to be wide-ranging in many areas of daily life. Self-driving cars have been the subject of significant research on their environmental, practical, and lifestyle consequences and their impacts remain debated.
Regulation of self-driving cars, autonomous vehicles and automated driving system is an increasingly relevant topic in the automotive industry strongly related to the success of the actual technology. Multiple countries have passed local legislation and agreed on standards for the introduction of autonomous cars.
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