How to distinguish inliers from outliers in visual odometry for high-speed automotive applications.
Martin BuczkoVolker WillertPublished in: Intelligent Vehicles Symposium (2016)
Keyphrases
- visual odometry
- high speed
- robust regression
- autonomous navigation
- ego motion
- long range
- robust estimation
- real time
- kalman filtering
- position information
- simultaneous localization and mapping
- depth images
- frame rate
- dynamic environments
- mobile robot
- extended kalman filter
- image pairs
- range data
- field of view
- optical flow
- three dimensional
- kalman filter
- path planning
- d scene
- camera pose
- least squares