Collaborative Research: CISE: Large: Integrated Networking, Edge System and AI Support for Resilient and Safety-Critical Tele-Operations of Autonomous Vehicles

合作研究：CISE：大型：集成网络、边缘系统和人工智能支持自动驾驶汽车的弹性和安全关键远程操作

• 批准号: 2321532
• 负责人: Zhuoqing Mao
• 金额: $ 142.5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2027-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2321532&HistoricalAwards=false
• 关键词: Collaborative; Research; CISE; Large; Integrated

Autonomous vehicles (AVs), with an in-vehicle human safety driver, have been tested on public roads for years, and several companies are now offering “robotaxi” trial services in selected US cities. Safety is of the utmost importance in transportation, as mistakes can be expensive, dangerous, or fatal. News stories about robotaxis creating havoc on the streets highlight the challenges posed by complex real-world traffic environments. Clearly, AVs with fully autonomous driving still have a long way to go, in spite of rapid advances in artificial intelligence (AI) and machine learning (ML). AV tele-operations are suggested as an alternative approach, wherein a human operator remotely controls an AV, perhaps only partially as the need arises. This notion is inspired by the potential offered by emerging fifth-generation (5G) networks. However, as of now, 5G for AV tele-operations remains more aspirational, as many challenges remain. The goal of this project is to tackle the challenges in supporting (partial) AV tele-operations over 5G and next-generation (NextG) networks. This project helps facilitate safe and incremental adoption of (tele-operated) AVs to address societal challenges, while accelerating AV technology towards full autonomy. In particular, it provides a unique opportunity for testing AV tele-operations in Midwest winter and other scenarios. The project also serves as a forum for academia-government-industry collaboration and technology translation, and as a nexus point for broadening participation in research, education, and community outreach.This interdisciplinary and transformative research agenda develops integrated networking, systems and AI support for AV tele-operations. Key innovations include: 1) a semantics-oriented and fine-grained networking framework that exploits diversity to provide high bandwidth and low latency; 2) an agile, secure-by-design edge systems architecture that is optimized for AI workloads; 3) a novel application-driven, cross-layer and whole-system approach that enables cooperation across end devices, networks, edge systems and human operators; 4) an “AI-native” paradigm that systematically integrates AI/ML algorithms across layers and system components, with built-in mechanisms to mitigate the risks of inaccurate or false AI predictions; and finally, 5) a human-centered approach that combines faster-than-real-time AI simulations and integrated machine & human intelligence to seamlessly support human-in/on-the-loop. These innovations are incorporated into a prototype AV tele-operation platform called NextMOVE that provides resilient, safety-critical support for (partially) tele-operated AVs. The innovations broadly apply to other Industry 4.0 use cases, including smart manufacturing, precision agriculture and tele-health, which are vital to national prosperity, security, and well-being.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

多年来，在公共道路上已经在公共道路上进行了测试多年，自动驾驶汽车（AVS）已在选定的美国城市提供“ Robotaxi”试验服务多年。安全在运输中至关重要，因为错误可能是昂贵，危险或致命的。关于机器人的新闻报道在街上造成破坏，突显了复杂的现实世界交通环境带来的挑战。显然，尽管人工智能（AI）和机器学习（ML）取得了迅速的进步，但具有完全自主驾驶的AV仍然还有很长的路要走。 AV Telecerations被认为是一种替代方法，其中人类操作员远程控制AV，也许只是在需要的情况下部分部分地控制了AV。该概念的灵感来自新兴的第五代（5G）网络所提供的潜力。但是，到目前为止，由于许多挑战仍然存在，因此5G的AV遥控器仍然更加理想。该项目的目的是应对支持（部分）AV Telecerations在5G和Next Generation（NextG）网络方面面临的挑战。该项目有助于支持（远程操作）AV的安全和逐步采用，以应对社会挑战，同时将AV技术加速到完全自治。特别是，它为中西部冬季和其他场景提供了一个独特的机会来测试AV Teleceration。该项目还作为学术界 - 政府 - 行业合作和技术翻译的论坛，以及扩大参与研究，教育和社区外展的联系点。这是跨学科和变革性的研究议程，开发了集成的网络，系统和AI支持AV Teleperations。关键创新包括：1）以语义为导向且细粒度的网络框架，该框架利用多样性来提供高带宽和低潜伏期； 2）针对AI工作负载进行了优化的敏捷，安全的边缘系统体系结构； 3）一种新颖的应用程序驱动，跨层和全系统方法，可在最终设备，网络，边缘系统和人类操作员进行合作； 4）一种“ AI-NATIANIT”范式，该范式可以系统地整合跨层和系统组件的AI/ML算法，并具有内置机制，以减轻不准确或错误的AI预测的风险；最后，5）一种以人为中心的方法，结合了比实时的AI模拟更快的速度和集成的机器和人类智能，以无缝支持人类/在线。这些创新被整合到一个名为NextMove的原型AV电视平台中，该平台为（部分）远程操作的AV提供了韧性，关键的支持。这些创新广泛适用于其他行业4.0用例，包括智能制造，精密农业和远程健康，这对国家繁荣，安全和福祉至关重要。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛影响的审查标准来通过评估而被视为珍贵的支持。