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Found 5 papers, 2 papers with code
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking
Our proposed method uses a center-based radar-camera fusion algorithm for object detection and utilizes a greedy algorithm for object association.
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
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 #9 on
3D Object Detection
on nuscenes Camera-Radar
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles
Our radar object proposal network uses radar point clouds to generate 3D proposals from a set of 3D prior boxes.
RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
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
Machine-assisted annotation of forensic imagery
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.
