May 4, 2022, 1:11 a.m. | Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson

cs.LG updates on arXiv.org arxiv.org

Recent advances in machine learning technologies and sensing have paved the
way for the belief that safe, accessible, and convenient autonomous vehicles
may be realized in the near future. Despite tremendous advances within this
context, fundamental challenges around safety and reliability are limiting
their arrival and comprehensive adoption. Autonomous vehicles are often tasked
with operating in dynamic and uncertain environments. As a result, they often
make use of highly complex components, such as machine learning approaches, to
handle the nuances …

analysis arxiv autonomous autonomous vehicles real-time safety time

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