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 …

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

Pollutants degrade the performance of LiDAR sensors used in autonomous vehicles.
Therefore, there is an urgent need to develop cleaning technology for these sensors. In this …

The world is facing a great technological transformation towards fully autonomous vehicles,
where optimists predict that by 2030 autonomous vehicles will be sufficiently reliable …

Automotive Radar and LiDAR sensors represent the key components for next generation
driver assistance functions (Jones, 2001). In contrast, LiDAR sensors show large sensitivity …

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 …

Although experts widely agree that the cars of the future will be capable of automated and
autonomous driving, the question of when and how such cars will see the light of day is still …

In the automotive industry's future, the advent of autonomous driving poses a significant
challenge. A key component in this transformation is LiDAR (Light Detection and Ranging) …