3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm

Process LIDAR point cloud data for object detection. Implements RANSAC and Euclidean clustering with KD-Tree

Point Cloud 3D Visual Perception Simulation that runs on real LiDAR data

Obstacle Detection using LiDAR Point Cloud, RANSAC, and Euclidean Clustering.

The main goal of this project is to detect objects in a point cloud stream.

Sensor Fusion Lidar Obstacle Detection

Projects Implemented for the Udacity Sensor Fusion Engineer Nanodegree Program

Lidar Obstacle Detection using RANSAC and Euclidean Clustering