road safety

Classifying degraded road markings using computational neural nets (CDRMCN)

Identification and Quality Classification of Pavement Road Markings. This is an AI research project using computational neural nets to identify the characteristics of road markings and quantifying their quality (wear). This will allow the identification of the type of marking and classify the shape and wear patterns of center road markings (such as lines, arrows, [...]

RetroTek Pavement Marking Retroreflectometer Technology incorporates Intel Movidius Neural Compute Stick to assist the safe operation of ADAS and Autonomous vehicles on Global road networks.

Main road pavement stakeholders, the European Commission (EC), The Federal Highway Administration (FHWA),US Department of Transport ( USDOT) and Road Safety Associations European Road Federation (ERF) & American Traffic Safety Services Association (ATSSA), all recognize and support that good quality and uniformity of road markings, signage, and other traffic control devices support safe and [...]

National Work Zone Awareness Week: Road Condition Maintenance – Keeping Road Workers Safe

Front Mounted Pavement Retroreflectometers safer to operate than Side Mounted Retroreflectometers. The RetroTek Front Mounted Systems (FMS) are safer for pavement maintenance workers and other road users while road network retroreflectivity condition surveys are being carried out. Before the introduction of the RetroTek Front Mounted System, dynamic, vehicle mounted retroreflectometers were only available as side [...]