visionpilot-project/VisionPilot
Open-source modular autonomous driving simulation platform with computer vision, deep learning, and sensor fusion. Features lane detection, object recognition, and adaptive control in BeamNG.tech, with real-time visualization via Foxglove.
VisionPilot is an autonomous driving simulation platform designed to help researchers and engineers test and validate self-driving car technologies. It takes simulated sensor data (like camera feeds, LiDAR, and radar) from the BeamNG.tech simulator and processes it to output real-time insights for lane detection, object recognition, and adaptive vehicle control. This tool is for autonomous vehicle researchers, engineers, and students working on perception and control systems.
Use this if you need a modular, open-source platform to simulate, develop, and test autonomous driving perception and control algorithms in a realistic environment.
Not ideal if you are looking for a fully-fledged, production-ready autonomous driving system or a simple end-user driving simulator.
Stars
15
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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