SBIR Phase I: Autonomous active safety systems for verifiably safe operation of ground vehicles

SBIR 第一阶段：用于地面车辆可验证安全运行的自主主动安全系统

• 批准号: 2006225
• 负责人: Jeffrey Johnson
• 金额: $ 22.5万
• 依托单位: MAPLESS AI, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-15 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2006225&HistoricalAwards=false
• 关键词: SBIR; Phase; Autonomous; active; safety

pThe broader impact of this Small Business Innovation Research (SBIR) Phase I project will develop technology that will enable automated transportation systems to verifiably maintain safety without relying on a human driver as a fallback. Driver-related factors were involved in an estimated 94% of fatal crashes; up to 80% could have been mitigated or prevented by advanced technology. More broadly, each year vehicle collisions in the U.S. result in 35,000-40,000 fatalities, over 2.3 M serious injuries, and costs of $850 B. The success of the proposed work will demonstrate that simple, robust methods can be used to achieve safe autonomous vehicle behavior./p pThis Small Business Innovation Research (SBIR) Phase I project will explore translation of an advanced autonomous control system in a combination of advances in multi-agent control theory and new, sensor-based control techniques. This project addresses the challenges of translating theoretical advances into industrial-grade algorithms and defining a vehicle safety system that does not rely on a human fallback mechanism. The Phase I work addresses these technical hurdles through: 1) a feasibility study of a prototype system, and 2) an extensive verification and validation process for a safety case report./p pThis 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./p

该小企业创新研究 (SBIR) 第一阶段项目的更广泛影响将开发技术，使自动交通系统能够可验证地维持安全，而不依赖人类驾驶员作为后备。 据估计，94% 的致命车祸与驾驶员相关因素有关；高达 80% 的问题本可以通过先进技术得到缓解或预防。更广泛地说，美国每年的车辆碰撞事故会导致 35,000-40,000 人死亡，超过 230 万人重伤，成本高达 850 美元 B。拟议工作的成功将证明可以使用简单、稳健的方法来实现安全的自动驾驶汽车行为。/p p这个小型企业创新研究 (SBIR) 第一阶段项目将探索先进自主控制系统的转化，将多智能体控制理论的进步与新型基于传感器的控制相结合技术。该项目解决了将理论进步转化为工业级算法以及定义不依赖于人类后备机制的车辆安全系统的挑战。第一阶段的工作通过以下方式解决了这些技术障碍：1) 原型系统的可行性研究，2) 安全案例报告的广泛验证和确认过程。/p p该奖项反映了 NSF 的法定使命，并被认为值得支持通过使用基金会的智力优点和更广泛的影响审查标准进行评估。/p