Joint optimization based on direct sparse stereo visual-inertial odometry.
Shuhuan WenYanfang ZhaoHong ZhangHak-Keung LamLuigi ManfrediPublished in: Auton. Robots (2020)
Keyphrases
- joint optimization
- sparse representation
- inertial sensors
- sparse signal representation
- sensor fusion
- computer vision
- dense stereo
- visual features
- visual information
- position and orientation
- stereo images
- stereo vision
- high dimensional
- image classification
- three dimensional
- face recognition
- stereo pair
- signal processing
- multi camera
- stereo matching
- depth map
- dynamic model
- image pairs
- object recognition
- neural network
- stereo camera
- video sequences
- feature extraction
- multiple description coding
- d objects
- machine learning