MCZhi/DIPP
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
This project develops advanced AI for self-driving vehicles, specifically addressing how they predict the movements of other cars, pedestrians, and cyclists, and then plan their own safe path. It takes raw sensor data and outputs optimized driving trajectories, helping autonomous driving engineers improve system performance and safety.
282 stars. No commits in the last 6 months.
Use this if you are an autonomous driving engineer or researcher focused on developing and evaluating integrated prediction and planning systems for self-driving cars.
Not ideal if you are looking for a plug-and-play solution for immediate deployment in a production vehicle or if you are not working with Waymo Open Motion Dataset specifically.
Stars
282
Forks
56
Language
Python
License
—
Category
Last pushed
Aug 11, 2023
Commits (30d)
0
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