Fusing Lidar, Radar, and Camera Using Extended Kalman Filter for Estimating the Forward Position of Vehicles.
Taek-Lim KimJae-Seol LeeTae-Hyoung ParkPublished in: CIS/RAM (2019)
Keyphrases
- extended kalman filter
- dead reckoning
- estimation process
- image stabilization
- kalman filter
- inertial sensors
- ego motion
- kalman filtering
- state estimation
- position and orientation
- field of view
- estimation accuracy
- reference frame
- vision system
- point cloud
- computer simulation
- particle filter
- real time
- mobile robot
- camera motion
- target tracking
- multilayer perceptron
- camera calibration
- back propagation
- stereo camera
- motion field
- image sequences
- video camera
- simultaneous localization and mapping
- training algorithm
- d scene
- structure from motion
- high resolution
- neural network
- multi camera
- multiple cameras
- global positioning system
- learning algorithm