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Driving Policy Prediction based on Deep Learning Models

07/20/2023

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by Fuxiao Liu, et al.

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In this project, we implemented an end-to-end system that takes in combined visual features of video frames from a normal camera and depth information from a cloud points scanner, and predicts driving policies (vehicle speed and steering angle). We verified the safety of our system by comparing the predicted results with standard behaviors by real-world experienced drivers. Our test results show that the predictions can be considered as accurate in at lease half of the testing cases (50 combined features improved the performance in most cases than using video frames only.

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