CCRI: MEDIUM: Collaborative Research: F1/10 RACECAR: Community Platforms for for Safe, Secure and Coordinated Autonomy

CCRI：中：合作研究：F1/10 RACECAR：安全、可靠和协调自治的社区平台

• 批准号: 1925652
• 负责人: Houssam Abbas
• 金额: $ 58.05万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1925652&HistoricalAwards=false
• 关键词: CCRI; MEDIUM; Collaborative; Research; F1

F1/10 is a shared, open-sourced infrastructure for the development and validation of new approaches to autonomous perception, planning, control and coordination. This community platform will facilitate autonomous system research, education and bench-marking through the creation of a new class of high-performance autonomous racing cars, that are 1/10th the size of a real (Formula 1) car and can reach a top speed of 50mph. The goal is to enable a wide range of experimental research and education in Safe, Secure, Coordinated and Efficient Autonomy. Much of today's research on Autonomous vehicles (AVs) is limited to experimentation on expensive commercial vehicles that require large teams with diverse skills and power-hungry platforms. Testing the limits of safety and performance on such vehicles is costly and hazardous. It is also outside the reach of most academic departments and research groups. Furthermore, little research has been devoted to the development of safety benchmarks and infrastructure for certifying autonomous systems, guaranteeing the safety of data-driven decision making, power-efficient perception and control for efficient autonomy, active coordinated safety for large vehicle fleets, and cyber-physical security of autonomous vehicles. All of these are fundamental requirements on the road to achieving the social benefits of autonomous vehicles, and autonomous systems more generally. F1/10 provides rapid prototyping hardware, software and algorithmic platforms, with full documentation and community support for research and development of future autonomous systems. Autonomous vehicles are emerging as integral components of the US economy, and in the future, they may be at the heart of the national economy's competitiveness in transportation and logistics. Enabling such a transformation requires building reliably safe and efficient autonomous vehicles and the contributions of a very diverse community of researchers from engineering, human factors and computer science. The project's intellectual merit resides in the design and deployment of scaled autonomous cars that are affordable, safe to experiment with, easy to customize, can be shared widely, and that can support a wide range of necessary research in autonomous vehicles. This project's broader goal is to stimulate and accelerate cross-disciplinary research in autonomous vehicle safety and efficiency, at a time when such work is urgently needed. This project will enable researchers in autonomous hardware, safety, security, and traffic to produce high-confidence autonomous systems.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.

F1/10是一个共享的开源基础设施，用于开发和验证自主感知、规划、控制和协调的新方法。这个社区平台将通过创造一种新的高性能自动赛车来促进自主系统研究、教育和基准测试，这种赛车的大小是真正的(一级方程式)汽车的十分之一，最高时速可达50英里。其目标是在安全、可靠、协调和高效的自主方面实现广泛的实验研究和教育。今天对自动驾驶汽车(AVs)的大部分研究仅限于在昂贵的商用车上进行实验，这些车辆需要具有不同技能和耗电平台的大型团队。测试这类车辆的安全和性能极限既昂贵又危险。它也超出了大多数学术部门和研究小组的能力范围。此外，很少有研究致力于制定安全基准和基础设施，以认证自动驾驶系统，确保数据驱动的决策的安全性，高效自动驾驶的节能感知和控制，大型车队的主动协调安全，以及自动驾驶车辆的网络物理安全。所有这些都是在实现自动驾驶汽车和更广泛的自动驾驶系统社会效益的道路上的基本要求。F1/10提供快速原型硬件、软件和算法平台，并为未来自主系统的研究和开发提供完整的文档和社区支持。自动驾驶汽车正在成为美国经济不可或缺的组成部分，未来，它们可能会成为美国国民经济在运输和物流方面的核心竞争力。要实现这样的转变，需要建造可靠、安全和高效的自动驾驶汽车，以及来自工程学、人为因素和计算机科学的非常多样化的研究人员的贡献。该项目的智力优势在于设计和部署了大规模自动驾驶汽车，这些汽车负担得起、试验安全、易于定制、可以广泛共享，并且可以支持自动驾驶汽车的广泛必要研究。该项目的更广泛目标是在迫切需要这类工作的时候，刺激和加快自动驾驶汽车安全和效率方面的跨学科研究。该项目将使自主硬件、安全、安保和交通领域的研究人员能够生产出高度可信的自主系统。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Differentiable Inference of Temporal Logic Formulas

时态逻辑公式的可微推理

• DOI: 10.1109/tcad.2022.3197506
• 发表时间: 2022
• 期刊: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
• 影响因子: 2.9
• 作者: Fronda, Nicole;Abbas, Houssam
• 通讯作者: Abbas, Houssam