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Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction

By Haicheng Liao and others at
LogoUniversity of Macau
and
LogoUniversity of York
Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully realizing autonomous driving (AD). This paper presents the Human-Like Trajectory Prediction model (HLTP++), which emulates human cognitive processes to improve trajectory prediction in AD. HLTP++ incorporates a novel teacher-student knowledge distillation framework. The "teacher" model equipped with... Show more
July 9, 2024
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Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
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