euclidean-clustering | Topic | Ecosyste.ms: Repos

Topic: "euclidean-clustering"

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

Language: C++ - Size: 30 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 310 - Forks: 56

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

Language: C++ - Size: 199 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 2

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

Language: C++ - Size: 189 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 2

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

Language: Makefile - Size: 195 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

Projects Implemented for the Udacity Sensor Fusion Engineer Nanodegree Program

Language: C++ - Size: 72.8 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Sensor Fusion Lidar Obstacle Detection

Language: C++ - Size: 262 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Language: Makefile - Size: 116 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0