The Hermes Road Measurement System is the result of the EU-funded project [1] Innovative, Highly Efficient Road Surface Measurement and Control System that was undertaken between August 2012 and July 2014. The project was funded through the European Union's Seventh Framework Capacities Programme [2] that aimed at supporting research for the benefit of small-to-medium enterprises (SMEs). This is realised by cooperation between a group of SMEs from several European countries, working in collaboration with a number of research and technological development (RTD) institutes, collectively constituting the project's consortium.
The Hermes system enables both the longitudinal and transversal profiles of a road to be simultaneously measured from a specially equipped vehicle travelling at normal road speeds. The developed approach has the advantage of eliminating the need for an inertial reference level, whilst improving accuracy of measurements by addressing errors otherwise resulting from the dynamics of a moving vehicle. An additional feature of this system is integration of the road profile measurements with their precise geographical location.
The project's objectives include the following:
These include transversal road profile, macro-texture measurements, longitudinal profile, rut depth, rut width, cross fall, curve radius, cracks, International Roughness Index (IRI), [ citation needed ] mean profile depth, vehicle speed, position relative to the start point, GNSS position, together with pavement imaging and time-stamping of measurements.
The work has been set to meet a number of requirements that were formed based on the results of questionnaires collected from interested parties. Hence, the following standards are met:
The Hermes system comprises a mobile unit, i.e., a special measurement vehicle having laser projection and camera imaging equipment. Acquired data is logged by a computer using a relational database. Data is subsequently post-processed using Structured Query Language-based queries, together with sophisticated custom-developed data analysis software.
The measurement principle is based on projecting a laser line on the road surface and recording its image using a high resolution camera of high frame rate. The deviation of the laser line is measured, which corresponds to undulations of the road surface.
A novel automated pothole detection algorithm has also been developed to automatically characterise the quality of the road surface and detect potentially hazardous defects. A specially-developed GNSS controller provides high accuracy localisation of acquired measurement data.
The developed system addresses the needs of a broad spectrum of potential end-users, including road maintainers, road constructors, air-field maintainers and national technical control centres responsible for road maintenance. The novel Hermes technology has been disseminated through a range of different activities including the following:
Tallinn Airport is the largest international airport in Estonia. The airport is also officially called Lennart Meri Tallinn Airport after the former president of Estonia Lennart Meri.
Lidar is a method for determining ranges by targeting an object or a surface with a laser and measuring the time for the reflected light to return to the receiver. Lidar may operate in a fixed direction or it may scan multiple directions, in which case it is known as lidar scanning or 3D laser scanning, a special combination of 3-D scanning and laser scanning. Lidar has terrestrial, airborne, and mobile applications.
In the context of information security, and especially network security, a spoofing attack is a situation in which a person or program successfully identifies as another by falsifying data, to gain an illegitimate advantage.
A dipstick is one of several measurement devices.
An optical cavity, resonating cavity or optical resonator is an arrangement of mirrors or other optical elements that forms a cavity resonator for light waves. Optical cavities are a major component of lasers, surrounding the gain medium and providing feedback of the laser light. They are also used in optical parametric oscillators and some interferometers. Light confined in the cavity reflects multiple times, producing modes with certain resonance frequencies. Modes can be decomposed into longitudinal modes that differ only in frequency and transverse modes that have different intensity patterns across the cross section of the beam. Many types of optical cavity produce standing wave modes.
Bathymetry is the study of underwater depth of ocean floors, lake floors, or river floors. In other words, bathymetry is the underwater equivalent to hypsometry or topography. The first recorded evidence of water depth measurements are from Ancient Egypt over 3000 years ago.
Multi-mode optical fiber is a type of optical fiber mostly used for communication over short distances, such as within a building or on a campus. Multi-mode links can be used for data rates up to 800 Gbit/s. Multi-mode fiber has a fairly large core diameter that enables multiple light modes to be propagated and limits the maximum length of a transmission link because of modal dispersion. The standard G.651.1 defines the most widely used forms of multi-mode optical fiber.
GNSS reflectometry involves making measurements from the reflections from the Earth of navigation signals from Global Navigation Satellite Systems such as GPS. The idea of using reflected GNSS signals for earth observation was first proposed in 1993 by Martin-Neira. It was also investigated by researchers at NASA Langley Research Center and is also known as GPS reflectometry.
Global Navigation Satellite System (GNSS) receivers, using the GPS, GLONASS, Galileo or BeiDou system, are used in many applications. The first systems were developed in the 20th century, mainly to help military personnel find their way, but location awareness soon found many civilian applications.
An indoor positioning system (IPS) is a network of devices used to locate people or objects where GPS and other satellite technologies lack precision or fail entirely, such as inside multistory buildings, airports, alleys, parking garages, and underground locations.
Road surface textures are deviations from a planar and smooth surface, affecting the vehicle/tyre interaction. Pavement texture is divided into: microtexture with wavelengths from 0 mm to 0.5 millimetres (0.020 in), macrotexture with wavelengths from 0.5 millimetres (0.020 in) to 50 millimetres (2.0 in) and megatexture with wavelengths from 50 millimetres (2.0 in) to 500 millimetres (20 in).
A time-of-flight camera, also known as time-of-flight sensor, is a range imaging camera system for measuring distances between the camera and the subject for each point of the image based on time-of-flight, the round trip time of an artificial light signal, as provided by a laser or an LED. Laser-based time-of-flight cameras are part of a broader class of scannerless LIDAR, in which the entire scene is captured with each laser pulse, as opposed to point-by-point with a laser beam such as in scanning LIDAR systems. Time-of-flight camera products for civil applications began to emerge around 2000, as the semiconductor processes allowed the production of components fast enough for such devices. The systems cover ranges of a few centimeters up to several kilometers.
Location awareness refers to devices that can determine their location. Navigational instruments provide location coordinates for vessels and vehicles. Surveying equipment identifies location with respect to a well-known location wireless communications device.
Anthony E. Siegman was an electrical engineer and educator at Stanford University who investigated and taught about masers and lasers. Known to almost all as Tony Siegman, he was president of the Optical Society of America [now Optica (society)] in 1999 and was awarded the Esther Hoffman Beller Medal in 2009.
The IEEE Photonics Award is a Technical Field Award established by the IEEE Board of Directors in 2002. This award is presented for outstanding achievements in photonics, including work relating to: light-generation, transmission, deflection, amplification and detection and the optical/electro-optical componentry and instrumentation used to accomplish these functions. Also included are storage technologies utilizing photonics to read or write data and optical display technologies. It also extends from energy generation/propagation, communications, information processing, storage and display, biomedical and medical uses of light and measurement applications.
The international roughness index (IRI) is the roughness index most commonly obtained from measured longitudinal road profiles. It is calculated using a quarter-car vehicle math model, whose response is accumulated to yield a roughness index with units of slope. Although a universal term, IRI is calculated per wheelpath, but can be expanded to a Mean Roughness Index (MRI) when both wheelpath profiles are collected. This performance measure has less stochasticity and subjectivity in comparison to other pavement performance indicators, such as PCI, but it is not completely devoid of randomness. The sources of variability in IRI data include the difference among the readings of different runs of the test vehicle and the difference between the readings of the right and left wheel paths. Despite these facts, since its introduction in 1986, the IRI has become the road roughness index most commonly used worldwide for evaluating and managing road systems.
Department of Geodesy Gdańsk University of Technology – continues the tradition of the Department of Surveying and Cartography, established at Gdańsk University of Technology in 1945.
Intrinsic localization is a method used in mobile laser scanning to recover the trajectory of the scanner, after, or during the measurement. Specifically, it is a way to recover the spatial coordinates and the rotation of the scanner without the use of any other sensors, i.e, extrinsic information. To function in practice, intrinsic localization relies on two things. First, a priori knowledge of the scanning instruments, and second, on sensor data overlap employing simultaneous localization and mapping (SLAM) methods. The term was coined in.
Kenju Otsuka is a Japanese engineer and physicist concerned with lasers and quantum electronics.
Ali Galip Ulsoy is an academic at the University of Michigan (UM), Ann Arbor, where he is the C.D. Mote Jr. Distinguished University Professor Emeritus of Mechanical Engineering and the William Clay Ford Professor Emeritus of Manufacturing.