Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks.
Daniel NiederlöhnerMichael UlrichSascha BraunDaniel KöhlerFlorian FaionClaudius GläserAndré TreptowHolger BlumePublished in: IV (2022)
Keyphrases
- object detection
- computer vision
- social networks
- estimation accuracy
- network design
- parameter estimation
- background subtraction
- network size
- accurate estimation
- network structure
- face detection
- signal processing
- optical flow
- object recognition
- neural network
- pedestrian detection
- estimation algorithm
- robust estimation
- scene understanding
- multi class
- velocity field
- power law
- image sequences
- radar images