Autonomous vehicle platform for developing and testing self-driving components
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Pylot is a modular autonomous driving platform designed for developing and testing vehicle components like perception, prediction, and planning. It targets researchers and engineers working with the CARLA simulator or real-world vehicles, offering a flexible framework to explore latency-accuracy trade-offs.
How It Works
Pylot is built on the ERDOS framework, enabling components to be developed and executed as independent ERDOS operators. This modularity allows for isolated testing of specific functionalities (e.g., obstacle detection, lane detection, planning) or end-to-end execution. The platform supports various algorithms for each component, including different object detection models, planning strategies (waypoint, Frenet, RRT*, Hybrid A*), and control methods (PID, MPC).
Quick Start & Requirements
nvidia-docker run -itd --name pylot -p 20022:22 erdosproject/pylot /bin/bash
./install.sh
and setting environment variables.Highlighted Details
Maintenance & Community
2 years ago
Inactive