ZhengYinan-AIR/Diffusion-Planner
[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"
This project helps autonomous vehicle engineers create more advanced and reliable self-driving systems. It takes in sensor data and environmental information to generate optimal, safe driving trajectories for a self-driving car. The output is a planned path for the vehicle, which can then be used to control its movement in complex scenarios like navigating busy intersections or avoiding pedestrians.
897 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you are developing or researching motion planning systems for autonomous vehicles and need a robust, learning-based approach to generate vehicle trajectories.
Not ideal if you are looking for a simple, rule-based planning solution or do not have access to large-scale autonomous driving datasets for training.
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897
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132
Language
Python
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Last pushed
Mar 10, 2026
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