most citedHierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.AI2024★ 1 cited

Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning

Siyi Lu, Lei He, Shengbo Eben Li +3

End-to-end autonomous driving offers a streamlined alternative to the traditional modular pipeline, integrating perception, prediction, and planning within a single framework. Whil…

eess.SY2022

An Extendable Maneuver Management Framework with Fault-Tolerant Mechanism for Vehicle Platoon Control System in Highway Scenario

Chang Liu, Yugong Luo, Pengfei Li +2

Vehicle platoon often face the problem of lack of scalability of maneuvers in practical applications. Once a new scenario is added, the original program may no longer be available.…