Ego-Motion Estimation & BEV Mapping
Python
OpenCV
NumPy
Estimated a vehicle’s 3D trajectory and built bird’s-eye-view maps from stereo video and RGB-D point clouds using Python, NumPy, and OpenCV.
Overview
Estimated 3D ego-vehicle trajectory by tracking a traffic light as a world reference across stereo video. Processed RGB-D point clouds to generate ground-frame Bird’s-Eye View (BEV) mappings with depth filtering for noise reduction.
Trajectory Estimation
Wisconsin Autonomous Challenge
Tech Stack
Python, NumPy, OpenCV