3 accepted papers
Collaborative perception is pivotal for the large-scale deployment of autonomous driving, yet it has long grappled with the trade-off between perception accuracy and bandwidth consumption. Existing methods fail to analyze the fine-grained characteristics of Field of View (FoV), leading to inefficien…
Current collaborative perception systems have significantly improved 3D object detection performance. However, widely used LiDAR and camera systems often suffer performance degradation under adverse weather conditions. The weather-robust 4D radar provides a promising solution to address this challen
Recent advances in collaborative perception systems have led to significant improvements in 3D object detection performance. While widely deployed LiDAR and camera systems often experience performance degradation under adverse weather conditions, weather-robust 4D radar offers a promising alternativ…