
The author proposes the Path-based prediction (PBP) approach to improve upon traditional goal-based trajectory prediction by using reference paths instead of 2D goals. This approach leads to more map-compliant trajectories and better generalization to novel scene layouts.


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Path-based-Trajectory-Prediction-for-Autonomous-Driving


Path-based Trajectory Prediction for Autonomous Driving


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The author's main thesis is to leverage human cognition principles to enhance trajectory prediction algorithms for autonomous vehicles. The approach integrates interdisciplinary insights from human observational behavior and cognitive decision-making processes into trajectory prediction models.


human-observation-inspired-trajectory-prediction-for-autonomous-driving-in-mixed-autonomy-traffic-environments


Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments
