Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks.
Daniel NiederlöhnerMichael UlrichSascha BraunDaniel KöhlerFlorian FaionClaudius GläserAndré TreptowHolger BlumePublished in: CoRR (2022)
Keyphrases
- object detection
- face detection
- scene understanding
- automatic target recognition
- optical flow
- estimation accuracy
- human detection
- radar signal
- network size
- estimation process
- heterogeneous networks
- computer networks
- parameter estimation
- multi class
- social networks
- density estimation
- machine learning
- complex networks
- accurate estimation
- scene recognition
- signal processing
- target recognition
- computer vision
- fluid flow
- radar images
- radar data