Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

The detection of surrounding vehicles is an essential task in autonomous driving, which has
been drawing enormous attention recently. When using laser scanners, L-Shape fitting is a …

Detecting and tracking moving vehicles is one of the most fundamental functions of
autonomous vehicles driving in complex scenarios, as it forms the foundation of decision …

Reliable object tracking is a key ingredient for maritime autonomous surface ship (MASS),
which can perceive surrounding objects and predict their motion state. Existing tracking …

Detecting and locating surrounding vehicles robustly and efficiently are essential
capabilities for autonomous vehicles. Existing solutions often rely on vision-based methods …

Detection and tracking of moving objects is one of the most essential functions of
autonomous cars. In order to estimate the dynamic information of a moving object …

The performance of deep learning-based detection methods has made them an attractive
option for robotic perception. However, their training typically requires large volumes of data …

Two-dimesional (2-D) LiDAR is an efficient alternative sensor for vehicle detection, which is
one of the most critical tasks in autonomous driving. Compared to the fully developed 3-D …

Tracking of moving vehicles and pedestrians is the most important application in traffic
surveillance videos. This study develops a highly efficient and fast multi-object tracking …

In the vehicle pose estimation task based on roadside Lidar in cooperative perception, the
measurement distance, angle, and laser resolution directly affect the quality of the target …