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

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 …

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

Research on autonomous vehicles (AV)-self-navigating machines that transport both man
and cargo has proliferated lately. While once limited to industrial or military uses, more …

When autonomous driving has actually reached series maturity, mobility as we know it will
have changed fundamentally. The driver will then get into his car as a passenger and during …

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 …

This paper reviews current developments and discusses some critical issues with obstacle
detection systems for automated vehicles. The concept of autonomous driving is the driver …

Performance degradation of automotive LiDAR systems due to contamination of the sensor
cover is a key problem for self-driving cars in harsh environments. Here the influence of …

The usage of a LIDAR-based obstacle detection system in agricultural environment, as
developed in SOLCO project, has led to a novel detection strategy. The rural scenario can …

Autonomous vehicles are redefining the transport industry–obstacle detection and
avoidance are key to their operation. A number of sensor technologies have been …