kujason/avod
Code for 3D object detection for autonomous driving
This project helps self-driving car engineers and researchers build advanced autonomous navigation systems. It takes raw sensor data from cameras and LiDAR, and accurately identifies and locates vehicles, pedestrians, and cyclists in 3D space, providing a crucial understanding of the car's surroundings. Developers in robotics and automotive AI can use this for their perception systems.
960 stars.
Use this if you need to precisely detect and localize objects like cars, pedestrians, and cyclists in 3D from sensor data for autonomous driving applications.
Not ideal if your primary goal is 2D object detection or if you are not working with autonomous driving scenarios.
Stars
960
Forks
351
Language
Python
License
MIT
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
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