The automotive world is progressing fast towards autonomous vehicles making sensors one
of the critical components. There is a requirement for constant exchange of information …

Autonomous driving is emerging as the future of transportation. For autonomous driving to
be safe and reliable the perception sensors need sufficient vision in sometimes challenging …

The global transportation sector is currently shifting towards autonomous vehicles. This shift
comes with challenges, such as; identifying obstacles, recognising its surroundings and …

Active systems in cars are seen as crucial tool for mitigating accident on road and are getting
wide-spread and more complex. Such systems include a variety of complementary sensors …

Autonomous driving includes recognition, judgment, and control technologies, and is
implemented using sensors such as cameras, LiDAR, and radar. However, recognition …

This paper presents the first of its kind real-time simulation of the effect of spray water on an
automotive LIDAR sensor. The simulation is based on physically measurable quantities in …

The performance of autonomous vehicle (AV) sensors, such as lidars or cameras, is often
hindered during rain. Rain droplets on the AV sensors can cause beam attenuation and …

Perception algorithms based on LiDAR sensors are more and more widely used in
intelligent transport systems, such as ADAS and autonomous vehicles. As new technological …

One of the main challenges for the safety validation of autonomous driving vehicles lies in
the influence of weather phenomena. As each of the main sensors, namely LIDAR, radar …

Autonomous vehicle technology has the potential to improve the safety, efficiency, and cost
of our current transportation system by removing human error. With sensors available today …