Physics and gaze-based drift trajectory prediction with an online learning framework
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on March 24, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
This work is the first to address vehicle trajectory prediction under extreme handling conditions relevant to drift-assist ADAS, extending the operational envelope of current trajectory prediction approaches beyond normal/near-linear driving regimes. The ...
This work is the first to address vehicle trajectory prediction under extreme handling conditions relevant to drift-assist ADAS, extending the operational envelope of current trajectory prediction approaches beyond normal/near-linear driving regimes. The ...