3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
Detect and track obstacles in 3D space using LiDAR data for autonomous vehicles.
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lidar_obstacle_detector has 404 stars on GitHub. It has been forked 66 times. lidar_obstacle_detector is written mainly in C++. It has been in active development since 2021. lidar_obstacle_detector is available under the MIT license. Its main topics are 3d-lidar, autonomous-vehicles, euclidean-clustering, hungarian-algorithm.
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
lidar_obstacle_detector is an open-source project. It is released under the MIT license.
Yes. lidar_obstacle_detector is free and open source — you can use, modify and self-host it.
lidar_obstacle_detector is available under the MIT license.
lidar_obstacle_detector is written mainly in C++.
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