Our proposed method uses a center-based radar-camera fusion algorithm for object detection and utilizes a greedy algorithm for object association.
In this paper, we focus on the problem of radar and camera sensor fusion and propose a middle-fusion approach to exploit both radar and camera data for 3D object detection.
Ranked #310 on 3D Object Detection on nuScenes
Our radar object proposal network uses radar point clouds to generate 3D proposals from a set of 3D prior boxes.
Region proposal algorithms play an important role in most state-of-the-art two-stage object detection networks by hypothesizing object locations in the image.
Ranked #1 on 3D Object Detection on nuScenes-F
In the case of a large forensic collection, we are aiming to annotate, neither the complete annotation nor the large training samples can be feasibly produced.