Fault Detection and Mitigation for Connected Autonomous Vehicles Using Output Measurements Only Market Assessment

仅使用输出测量的联网自动驾驶汽车的故障检测和缓解市场评估

• 批准号: 576537-2022
• 负责人: AlJanaideh, MohammadMALJ
• 金额: $ 1.09万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752740
• 关键词: Fault; Detection; Mitigation; Connected; Autonomous

Through linked-cruise control, connected autonomous vehicle (CAV) networks constitute an emerging cyber-physical system with considerable potential to improve vehicle safety, reduce traffic congestion, and have a positive impact on the environment. With CAV, the number of autonomous vehicles and the distance traveled on roads will grow, and the implementation of autonomous driving would drastically reduce the number of car accidents caused by human error. The demand for car repair services, medical services, and traffic cops will all decline. Greater situational awareness, collaborative decision-making, and improved control are all possible with CAV's communication networks. The research problem of CAV has attracted considerable attention from industry, governments, and academics from different fields. These include automation, control, and communication. It is evident that as the technology and complexity of autonomous vehicles evolve, several grand challenges need to be addressed. The applicant has recently developed novel algorithms for defect identification and mitigation that simply employ accessible sensors. The goal of this market assessment application is to refine and implement the design of these algorithms, test them in linked multi-agent systems, and demonstrate their utility in the industry. The research team wants to develop a CAV platoon system and design a physical component or electronic circuit that can be produced in Canada. The proposed method is unique, and there is no other technology like it on the market right now. We plan to commercialize our created technology with the help of Memorial University's Technology Transfer and Commercialization Office (TTCO). The commercialization strategy includes seeking an NSERC I2I market assessment grant as the first stage. We expect to leverage the services from a consultant, the Kanata North Mobility Group, to conduct market research and technology validation. With an independent market assessment from a third-party organization, we can more objectively understand the pros and cons of our proposed technology for marketing and commercialization.

通过连接巡航控制，互联自动驾驶汽车（CAV）网络构成了一个新兴的网络物理系统，在提高车辆安全性、减少交通拥堵和对环境产生积极影响方面具有相当大的潜力。有了CAV，自动驾驶汽车的数量和道路行驶距离将会增加，自动驾驶的实施将大大减少人为失误造成的车祸数量。对汽车维修服务、医疗服务和交通警察的需求都将下降。更强的态势感知、协同决策和改进的控制都可以通过CAV的通信网络实现。CAV的研究问题引起了业界、政府和不同领域学者的广泛关注。这些包括自动化、控制和通信。很明显，随着自动驾驶汽车技术和复杂性的发展，需要解决几个重大挑战。申请人最近开发了用于缺陷识别和缓解的新算法，只需使用可访问的传感器。这个市场评估应用程序的目标是改进和实现这些算法的设计，在连接的多代理系统中测试它们，并展示它们在行业中的效用。研究小组希望开发一种CAV排系统，并设计一种可以在加拿大生产的物理组件或电子电路。所提出的方法是独一无二的，目前市场上还没有其他类似的技术。我们计划在纪念大学技术转移和商业化办公室（TTCO）的帮助下将我们创造的技术商业化。商业化战略包括寻求NSERC I2I市场评估赠款作为第一阶段。我们希望利用咨询公司Kanata North Mobility Group的服务，进行市场研究和技术验证。通过第三方组织的独立市场评估，我们可以更客观地了解我们提出的技术在营销和商业化方面的利弊。