With the rapid development of autonomous driving technology, radar sensors play a vital
role in the perception system due to their robustness under harsh environmental conditions …

Understanding the scene around the ego-vehicle is key to assisted and autonomous driving.
Nowadays, this is mostly conducted using cameras and laser scanners, despite their …

Scene understanding plays an essential role in enabling autonomous driving and
maintaining high standards of performance and safety. To address this task, cameras and …

Scene understanding is crucial for autonomous robots in dynamic environments for making
future state predictions, avoiding collisions, and path planning. Camera and LiDAR …

With their robustness to adverse weather conditions and ability to measure speeds, radar
sensors have been part of the automotive landscape for more than two decades. Recent …

Radar sensors are vital for autonomous driving due to their consistent and dependable
performance, even in challenging weather conditions. Semantic segmentation of moving …

Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

Obstacle perception based on radar sensor has drawn wide attentions in autonomous
driving due to robust performance and low cost. It is significant to utilize fusion, eg, camera …

Object detection is essential to safe autonomous or assisted driving. Previous works usually
utilize RGB images or LiDAR point clouds to identify and localize multiple objects in self …

Radar is usually more robust than the camera in severe driving scenarios, eg, weak/strong
lighting and bad weather. However, unlike RGB images captured by a camera, the semantic …