Learning interaction-aware guidance for trajectory optimization in dense traffic scenarios

B Brito, A Agarwal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
被引用次数：11 相关文章

Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios

BF Ferreira de Brito, A Agarwal… - IEEE Transactions on …, 2022 - repository.tudelft.nl
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …

Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios

B Brito, A Agarwal, J Alonso-Mora - IEEE Transactions on Intelligent …, 2022 - trid.trb.org
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …
[PDF] autonomousrobots.nl

[PDF][PDF] Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios

B Brito, A Agarwal, J Alonso-Mora - autonomousrobots.nl
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …

Learning Interaction-Aware Guidance for Trajectory Optimization in Dense Traffic Scenarios

B Brito, A Agarwal, J Alonso-Mora - IEEE Transactions on …, 2022 - research.tudelft.nl
Autonomous navigation in dense traffic scenarios remains challenging for autonomous
vehicles (AVs) because the intentions of other drivers are not directly observable and AVs …