xrenaa/Safety-Aware-Motion-Prediction
[ICCV2021] Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
This project helps autonomous vehicle engineers and researchers predict the movements of other vehicles, especially those not commonly encountered during training. It takes raw sensor data and map information from real-world driving scenarios and outputs predictions of where surrounding vehicles are likely to go next, with a focus on safety. This is useful for those developing or testing autonomous driving systems.
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Use this if you are developing autonomous driving systems and need to improve the reliability and safety of predicting how other vehicles will move, even in unusual situations.
Not ideal if you are looking for a complete, production-ready autonomous driving system, as this focuses specifically on a component of motion prediction.
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Language
Python
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Last pushed
Feb 28, 2022
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