5 papers
ONRAP: Occupancy-driven Noise-Resilient Autonomous Path Planning
Faizan M. Tariq, Avinash Singh, Vipul Ramtekkar +4
Dynamic path planning must remain reliable in the presence of sensing noise, uncertain localization, and incomplete semantic perception. We propose a practical, implementation-frie…
Adaptive Time Step Flow Matching for Autonomous Driving Motion Planning
Ananya Trivedi, Anjian Li, Mohamed Elnoor +7
Autonomous driving requires reasoning about interactions with surrounding traffic. A prevailing approach is large-scale imitation learning on expert driving datasets, aimed at gene…
Occupancy-aware Trajectory Planning for Autonomous Valet Parking in Uncertain Dynamic Environments
Farhad Nawaz, Faizan M. Tariq, Sangjae Bae +5
Autonomous Valet Parking (AVP) requires planning under partial observability, where parking spot availability evolves as dynamic agents enter and exit spots. Existing approaches ei…
Delayed-Decision Motion Planning in the Presence of Multiple Predictions
David Isele, Alexandre Miranda Anon, Faizan M. Tariq +3
Reliable automated driving technology is challenged by various sources of uncertainties, in particular, behavioral uncertainties of traffic agents. It is common for traffic agents…
Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving
Faizan M. Tariq, Zheng-Hang Yeh, Avinash Singh +2
Motivated by the requirements for effectiveness and efficiency, path-speed decomposition-based trajectory planning methods have widely been adopted for autonomous driving applicati…