Table of contents

• Lidar Obstacle Detection overview
• Work done using C++ Language
• Algorithm steps

Lidar Obstacle Detection overview

filter, segment, and cluster real-point cloud data to detect obstacles in a driving environment.

lidar.mp4

Work done using C++ Language

1. Creating Lidar rays in simulation & rendering point cloud data
2. 3D RANSAC segmentation of point cloud data
3. Implementing Euclidean clustering with KD-Tree
4. creating 3D bounding boxes around detected objects

Algorithm steps