The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

By transmitting lasers and processing laser returns, LiDAR (light detection and ranging)
perceives the surrounding environment through distance measurements. Because of high …

Autonomous vehicle (AV) is less and less perceived as science fiction. AV have evolved
particularly quickly these past years, but some technological locks still remain. Adverse …

Abstract The World Health Organization has highlighted that the number of deaths
worldwide due to road accidents increases every year. It recommends that countries …

Fog is one of major challenges for transportation systems. The automation of the latter is
based on perception sensors that can be disrupted by atmospheric conditions. As fog …

Road markings are a niche category of industrial coatings with requirements related to both
the coating itself and the layer of glass beads on top of it that furnish retroreflectivity (RL) …

Image deraining is a new challenging problem in real-world applications, such as
autonomous vehicles. In a bad weather condition of heavy rainfall, raindrops, mainly hitting …

In the last 5 years, with the vast improvements in computing technologies, eg, sensors,
computer vision, machine learning, and hardware acceleration, and the wide deployment of …

Abstract Machine learning (ML)-based prediction of urban crashes using secondary crash
data derived from police crash databases is limited in India. This research demonstrated an …

A wide range of sensors is being developed for autonomous vehicles in order to ensure safe
driving conditions by detecting any relevant objects in the road environment. Sensors …