Hybrid imitation learning and differentiable optimization framework for trajectory planning in autonomous driving
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on July 16, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Autonomous driving in complex urban environments requires trajectory planning that balances safety, efficiency, and human-like behavior. Although imitation learning (IL) can capture expert driving patterns from large-scale demonstrations, existing IL-...
Autonomous driving in complex urban environments requires trajectory planning that balances safety, efficiency, and human-like behavior. Although imitation learning (IL) can capture expert driving patterns from large-scale demonstrations, existing IL-...