Label-Efficient 3D Object Detection For Road-Side Units

arXiv:2404.06256v1 Announce Type: new
Abstract: Occlusion presents a significant challenge for safety-critical applications such as autonomous driving. Collaborative perception has recently attracted a large research interest thanks to the ability to enhance the perception of autonomous vehicles via deep information fusion with intelligent roadside units (RSU), thus minimizing the impact of occlusion. While significant advancement has been made, the data-hungry nature of these methods creates a major hurdle for their real-world deployment, particularly due to the need for annotated RSU …

3d object 3d object detection abstract applications arxiv autonomous autonomous driving autonomous vehicles challenge collaborative cs.cv cs.ro detection driving fusion impact information intelligent object perception research safety safety-critical type units vehicles via