This project estimates the distance to objects using stereo vision and depth maps, with images and calibration data from the KITTI dataset.
- Stereo Vision: Uses stereo image pairs from the KITTI dataset.
- Disparity Calculation: Computes disparity maps from stereo images as the basis for depth estimation.
- Depth Map Generation: Converts disparity maps into depth maps to represent object distances.
- Distance Estimation: Calculates how far detected objects are from the camera using the depth map.
This implementation is ideal for learning and experimenting with computer vision concepts related to 3D perception and distance measurement.
This project uses images and calibration files from the KITTI Vision Benchmark Suite.

