CRII: CSR: Towards an Edge-enabled Software-Defined Vehicle Framework for Dynamic Over-the-Air Updates

软件定义汽车（SDV）代表了汽车发展的下一个发展方向。由于硬件复杂性、软件复杂性和其他因素的差异，用于消费电子产品中的空中下载（OTA）软件更新的传统方法并不很适合SDV。这项工作解决了SDV中动态OTA更新和数据传输的被忽视的需求。它提供了一套系统，算法和通信策略，以从软件下行链路和数据上行链路的角度增强SDV框架。具体来说，这项工作将为SDV开发一个车辆边缘云框架，旨在促进SDV和路边单元（RSU）之间的弹性协作，以及时交付经过验证的软件。它将专注于在运动时高效的SDV数据上行链路，采用压缩感知技术进行低带宽，低延迟的数据传输，从而提高SDV的实际部署。这项工作将引入基于物理测试床的新策略，用于（1）开源SDV框架和（2）动态OTA更新。如果成功，它将实现实时OTA更新，以防止事故发生，挽救生命，并降低因软件故障造成的成本。它还将支持应急响应、跨州自适应监管合规以及基于地理位置的性能优化。此外，它还将支持高效和自适应的数据传输，使车辆软件保持最新。它有可能创造研究和教育机会，重点关注广泛分布的车辆，机器人和边缘设备的整个生命周期。这些都是在数字时代拥抱互联、自主、共享和电动（CASE）趋势的基本要素。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Software-defined vehicles (SDVs) represent the next evolution of automotive development. Traditional methods for over-the-air (OTA) software updates in consumer electronics are not well-suited to SDVs due to differences in hardware complexity, software intricacy, and other factors. This work addresses the overlooked need for dynamic OTA updates and data transmission in SDVs. It offers a suite of systems, algorithms, and communication strategies to enhance SDV frameworks from the perspective of software downlink and data uplink. Specifically, this work will develop a vehicle-edge-cloud framework for SDVs, aiming to foster resilient collaborations between SDVs and roadside units (RSUs) to deliver verified software in a timely fashion. It will focus on efficient SDV data uplink while in motion, employing compressive sensing technologies for low-bandwidth, low-latency data transmission, thereby enhancing the practical deployment of SDVs.This work will introduce new strategies based on physical testbeds for (1) an open-source SDV framework and (2) dynamic OTA updates. If successful, it will enable real-time OTA updates to prevent accidents, save lives, and reduce costs due to software malfunctions. It will also support emergency response, adaptive regulatory compliance across state borders, and geolocation-based performance optimization. Moreover, it will support efficient and adaptive data transmission on the go, keeping vehicle software up-to-date. It has the potential to create research and education opportunities focused on widely distributed vehicles, robots, and edge devices throughout their lifecycles. These are essential elements to embrace the connected, autonomous, shared, and electric (CASE) trends in the digital era.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.