zhang-zengjie/dl-vehicle-mpc
Using deep learning to predict the motion of a MPC-controlled vehicle
This project helps automotive engineers and researchers develop safer autonomous driving systems by predicting the movements of other vehicles. It takes historical trajectory data of a human-driven vehicle and outputs a predicted future path, which an autonomous vehicle then uses to plan its own safe maneuvers. This is useful for those working on advanced driver-assistance systems (ADAS) or fully autonomous vehicle control.
No commits in the last 6 months.
Use this if you need to evaluate or implement autonomous vehicle control strategies that adapt to the predicted behavior of human-driven vehicles in dynamic environments like highways.
Not ideal if you are looking for a system ready for real-world deployment, as this is a demonstration with a hardcoded target vehicle trajectory.
Stars
13
Forks
2
Language
MATLAB
License
BSD-3-Clause
Category
Last pushed
Jun 24, 2024
Commits (30d)
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