Connected and autonomous vehicles as a grand challenge for middleware in cyber-physical systems

R. Rajkumar
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Abstract

There has been immense interest and investments over the past 15 years on building autonomous vehicles, but practical deployments of AVs still do not seem viable in the near future. What if anything went wrong? From its origins in the first decade of the new millennium, the cyber-physical systems community has deemed AVs as a grand challenge. Meanwhile, thanks to remarkable advances in machine learning since the early 2010's, the AI community has targeted AVs as a poster child to measure its progress and considers AV as purely an AI problem to be solved. This talk will provide a synopsis of the speaker's work on AVs and the current state of the art. In order to stimulate a larger debate, the talk will then delve into where AI can and does contribute, and where the CPS community in general and the CPS middleware community in particular must continue to play a significant role. Research questions that can and must be addressed by the CPS and middleware communities will be posed. An active exchange during and after the presentation is encouraged.
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联网和自动驾驶汽车对网络物理系统中的中间件构成了巨大挑战
在过去的15年里,人们对制造自动驾驶汽车产生了巨大的兴趣和投资,但在不久的将来,自动驾驶汽车的实际部署似乎仍然不可行。如果出了什么差错怎么办?从新千年的第一个十年开始,网络物理系统社区就认为自动驾驶汽车是一个巨大的挑战。与此同时,由于自2010年初以来机器学习取得了显著进步,人工智能社区已经将自动驾驶汽车作为衡量其进步的典范,并将自动驾驶汽车视为纯粹需要解决的人工智能问题。本次演讲将简要介绍演讲者在自动驾驶汽车方面的工作和当前的艺术状态。为了激发更大的争论,演讲将深入探讨人工智能可以在哪些方面做出贡献,以及CPS社区(特别是CPS中间件社区)必须在哪些方面继续发挥重要作用。CPS和中间件社区可以并且必须解决的研究问题将被提出。鼓励在演讲期间和之后进行积极的交流。
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