Radar Camera

Radar-camera fusion is a rapidly developing field aiming to leverage the complementary strengths of these sensors for robust and accurate 3D perception in autonomous driving. Current research focuses on developing effective fusion architectures, often employing transformer networks or multi-stage approaches operating in bird's-eye-view (BEV) representation, to combine radar's long-range detection capabilities with cameras' rich visual information. These advancements improve 3D object detection, tracking, and depth estimation, particularly in challenging weather conditions, leading to safer and more reliable autonomous systems. The resulting improvements in perception accuracy and robustness have significant implications for the development of advanced driver-assistance systems (ADAS) and fully autonomous vehicles.