DerrickXuNu/v2x-vit

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

42
/ 100
Emerging

This project helps automotive engineers and researchers develop and test cooperative perception systems for autonomous vehicles. It takes in raw sensor data (like LiDAR point clouds) from multiple vehicles and roadside units, processes it, and outputs enhanced 3D object detection results. This is for professionals working on advanced driver-assistance systems (ADAS) or autonomous driving technologies.

339 stars. No commits in the last 6 months.

Use this if you need to evaluate or implement vehicle-to-everything (V2X) cooperative perception for 3D object detection in autonomous driving scenarios, especially when simulating communication noise.

Not ideal if you are looking for a plug-and-play solution for real-time deployment without extensive machine learning and autonomous driving development experience.

autonomous-driving V2X-communication 3D-object-detection cooperative-perception ADAS-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

339

Forks

37

Language

Python

License

MIT

Last pushed

Sep 06, 2024

Commits (30d)

0

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