GutlapalliNikhil / Complex-YOLO-ROS-3D-Object-Detection

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localization of objects in complex environments

Date Created 2023-08-02 (about a year ago)

Commits 15 (last one about a year ago)

Stargazers 28 (0 this week)

Watchers 2 (0 this week)

Forks 3

License unknown

Ranking

RepositoryStats indexes 589,134 repositories, of these GutlapalliNikhil/Complex-YOLO-ROS-3D-Object-Detection is ranked #571,900 (3rd percentile) for total stargazers, and #481,361 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #113,493/117,584.

GutlapalliNikhil/Complex-YOLO-ROS-3D-Object-Detection is also tagged with popular topics, for these it's ranked: object-detection (#1,147/1165), ros (#746/755), autonomous-driving (#392/398), 3d-object-detection (#108/109)

Other Information

GutlapalliNikhil/Complex-YOLO-ROS-3D-Object-Detection has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

All Topics

ros pointcloud object-detection lidar-point-cloud autonomous-driving 3d-object-detection

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Recent Commit History

15 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-11-29 @ 09:35pm, id: 673944521 / R_kgDOKCuTyQ