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 …

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

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 …

Although the LiDAR sensor provides high-resolution point cloud data, its performance
degrades when exposed to dust environments, which may cause a failure in perception for …

LiDAR (Light Detection and Ranging) is a useful sensing technique and an important source
of data for autonomous vehicles (AVs). In this publication we present the results of a study …

Although lidar sensors have emerged as a cornerstone sensing modality in autonomous
driving, they face significant challenges in adverse weather conditions. A particularly …

Lidar sensors play an essential role in the perception system of automated vehicles. Fault
Detection, Isolation, Identification, and Recovery (FDIIR) systems are essential for increasing …

The performance of LiDAR sensors deteriorates under adverse weather conditions such as
rainfall. However, few studies have empirically analyzed this phenomenon. Hence, we …

Given the significant technological advances over the past few years, autonomous vehicles
are gradually entering the industrialization stage. Light detection and ranging (LiDAR) …

LiDAR sensors have played an important role in a variety of related applications due to their
merits of providing high-resolution and accurate information about the environment …