April 2, 2024, 7:48 p.m. | Neel P. Bhatt, Ruihe Zhang, Minghao Ning, Ahmad Reza Alghooneh, Joseph Sun, Pouya Panahandeh, Ehsan Mohammadbagher, Ted Ecclestone, Ben MacCallum, Ehs

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.00938v1 Announce Type: cross
Abstract: Autonomous vehicle all-weather operation poses significant challenges, encompassing modules from perception and decision-making to path planning and control. The complexity arises from the need to address adverse weather conditions like rain, snow, and fog across the autonomy stack. Conventional model-based and single-module approaches often lack holistic integration with upstream or downstream tasks. We tackle this problem by proposing a multi-module and modular system architecture with considerations for adverse weather across the perception level, through features …

abstract arxiv autonomous autonomous vehicle autonomy challenges complexity control cs.ai cs.cv cs.ro decision integration making modules path perception planning rain snow stack type weather

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