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GitHub / Ohara124c41 / SFND_Lidar_Obstacle_Detection

Process raw lidar data with filtering, segmentation, and clustering to detect other vehicles on the road. Detect other cars on the road using raw lidar data from Udacity’s real self-driving car, Carla! Implement custom RANSAC and Euclidean clustering algorithms.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ohara124c41%2FSFND_Lidar_Obstacle_Detection

Fork of udacity/SFND_Lidar_Obstacle_Detection
Stars: 1
Forks: 1
Open Issues: 0

License: None
Language: C++
Repo Size: 190 MB
Dependencies: pending

Created: almost 5 years ago
Updated: about 1 month ago
Last pushed: about 4 years ago
Last synced: about 1 month ago

Topics: euclidean-cluster-extraction, lidar, opencv, ransac

Funding links: https://github.com/sponsors/Ohara124c41

Files

Readme