A Semantic-Guided LiDAR-Vision Fusion Approach for Moving Objects Segmentation and State Estimation.
Song-Ming ChenHaixin SunVincent FrémontPublished in: ITSC (2022)
Keyphrases
- state estimation
- active vision
- moving objects
- motion segmentation
- kalman filter
- particle filter
- background subtraction
- segmentation algorithm
- kalman filtering
- visual tracking
- multiscale
- multi sensor
- state space model
- video sequences
- dynamic systems
- optical flow
- particle filtering
- image segmentation
- computer vision
- object tracking
- vision system
- image analysis
- spatio temporal
- image sequences
- image processing
- machine learning
- data fusion
- high resolution
- image fusion
- three dimensional
- moving object extraction