1 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
WZPlanner: Safe End-to-End Path Planning for Autonomous Driving in Work Zones
Nishad Sahu, Changzhong Qian, Guangzhou Cai +3
Work zones alter lane geometry through temporary traffic controls and closures that may be absent from on-board maps, challenging autonomous vehicle (AV) perception and planning. G…
RT-VLA: Real-Time Vision-Language-Action Models via Knowledge Distillation
Xiangyu Huang, Zhenlin Hua, Han Zhou +2
Vision-Language-Action (VLA) models have shown strong potential for end-to-end autonomous driving by jointly modeling visual perception, language reasoning, explainability and acti…
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
Nishad Sahu, Kalpana Panda, Congyuan Yu +3
Recent end-to-end (E2E) autonomous driving policies achieve high driving scores in closed-loop simulations. Yet it remains unclear whether these policies handle common safety-criti…
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
Shounak Sural, Raj Rajkumar
End-to-End (E2E) autonomous driving models have shown growing capability in recent years, with performance improving on increasingly challenging benchmarks. However, modern generat…
BEVMAPMATCH: Multimodal BEV Neural Map Matching for Robust Re-Localization of Autonomous Vehicles
Shounak Sural, Ragunathan Rajkumar
Localization in GNSS-denied and GNSS-degraded environments is a challenge for the safe widespread deployment of autonomous vehicles. Such GNSS-challenged environments require alter…