V2AI/Det3D

World's first general purpose 3D object detection codebse.

51
/ 100
Established

This project helps self-driving car engineers and robotics researchers accurately identify and locate objects in 3D space using data from LiDAR sensors or other point cloud sources. It takes raw 3D point cloud data as input and outputs precise bounding boxes and classifications for objects like cars, pedestrians, and cyclists. This tool is designed for autonomous vehicle developers and perception engineers working on scene understanding.

1,558 stars. No commits in the last 6 months.

Use this if you need to implement or benchmark state-of-the-art 3D object detection algorithms for autonomous driving or robotics applications.

Not ideal if you are looking for a pre-built, ready-to-deploy solution without any coding or deep learning expertise.

autonomous-driving robotics-perception 3d-scene-understanding lidar-processing vehicle-detection
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,558

Forks

297

Language

Python

License

Apache-2.0

Last pushed

Dec 19, 2023

Commits (30d)

0

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