Stereo Visual Odometry
Brief overview
Visual odometry is the process of determining the position and orientation of a mobile robot by using camera images. A stereo camera setup and KITTI grayscale odometry dataset are used in this project.
KITTI dataset is one of the most popular datasets and benchmarks for testing visual odometry algorithms. This project aims to use OpenCV functions and apply basic cv principles to process the stereo
camera images and build visual odometry using the KITTI dataset.
SIFT Visual Odometry Demo Video [4x]
Disparity Map
Depth Map
SIFT Features
SIFT Feature Matching
Odometry path
- Red Visual odometry path
- Black ground truth path
SIFT
ORB
Presentation
Stereo Visual Odometry Presentation.pdf