Automatic Radar-Camera Dataset Generation for Sensor-Fusion Applications
A. Sengupta, A. Yoshizawa, S. Cao
IEEE Robotics and Automation Letters, 2022 , Vol. 7 (2) , pp. 2875-2882
Abstract
A novel approach that leverages YOLOv3 based highly accurate object detection from camera to automatically label point cloud data obtained from a co-calibrated radar sensor. Features co-calibration, clustering and association capabilities for automatically generating datasets containing labeled radar data-camera images for deep learning applications in sensor fusion.
Citation
A. Sengupta, A. Yoshizawa, S. Cao. "Automatic Radar-Camera Dataset Generation for Sensor-Fusion Applications." IEEE Robotics and Automation Letters 7(2): 2875-2882, 2022. DOI: 10.1109/LRA.2022.3144524
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Details
- Year
- 2022
- Published In
- IEEE Robotics and Automation Letters
- Volume
- 7
- Issue
- 2
- Pages
- 2875-2882
- DOI
- 10.1109/LRA.2022.3144524