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.
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.