Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …

Automated driving has the potential to revolutionize personal, public, and freight mobility.
Besides the enormous challenge of perception, ie accurately perceiving the environment …

Predicting the future trajectories of dynamic traffic actors is a cornerstone task in
autonomous driving. Though existing notable efforts have resulted in impressive …

Point cloud registration is a classic and fundamental problem. Existing point cloud
registration methods obtain correspondence point pairs by calculating the correlation …

The inevitable impact of autonomous vehicles (AV) on traffic safety is becoming a reality with
the progressive deployment of these vehicles in different parts of the world. Still, many …

Predicting the future trajectories of traffic agents is a pivotal aspect in achieving collision-free
driving for autonomous vehicles. Although the overall accuracy of existing prediction …

Autonomous vehicles are at the forefront of future transportation solutions, but their success
hinges on reliable perception. This review paper surveys image processing and sensor …

Pedestrian trajectory prediction is essential for self-driving vehicles, social robots, and
intelligent monitoring applications. Diverse trajectory data is critical for high-accuracy …

Pedestrian trajectory prediction in a first-person view has recently attracted much attention
due to its importance in autonomous driving. Recent work utilizes pedestrian character …

Artificial intelligence (AI) plays a critical role in the prediction, planning, and control of
autonomous vehicle. The original motion control methods are increasing in accuracy, but …