A survey of end-to-end autonomous driving algorithms based on CARLA simulation(基于CARLA仿真的端到端自动驾驶算法综述)

With recent advances in deep learning and hardware computing power, end-to-end autonomous driving models have attracted significant attention. The core idea is to use neural networks to directly map sensory inputs to vehicle control commands, optimizing the entire driving process as a single task. H...

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Detalles Bibliográficos

Autores principales:	FU Guangming(付光明), LU Ziao(卢子奥), MA Lei(马雷), WANG Beibei(王贝贝)
Formato:	Artigo
Lenguaje:	Chinês
Publicado:	Zhejiang University Press 2026-03-01
Colección:	Zhejiang Daxue xuebao. Lixue ban
Materias:	autonomous driving(自动驾驶) simulator(仿真器) carla(carla) end-to-end(端到端) imitation learning(模仿学习) scene synthesis(场景合成)
Acceso en línea:	https://doi.org/10.3785/j.issn.1008-9497.25106
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