SBIR Phase II: Affordable, Multi-wavelength Imager plus Light Detection and Ranging (LIDAR) for Autonomous Vehicles

SBIR 第二阶段：适用于自动驾驶汽车的经济实惠的多波长成像仪以及光探测和测距 (LIDAR)

• 批准号: 2037859
• 负责人: Shimon Maimon
• 金额: $ 92.08万
• 依托单位: NBN TECHNOLOGIES, LLC
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2037859&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Affordable; Multi

The broader impact/commercial potential of this Small Business Innovation Research Phase II project based on this SBIR sensor solution, with its high quality and low cost, will enable the advanced driver assistance systems (ADAS) industry to accelerate the progress to greater functionality of assisted driving, ultimately reaching full autonomy. The subject focal plane array (FPAS) chips may reduce the current US 36,560 annual vehicles deaths (the leading cause of death for those 1-54 years old) as well as reduce the 4.4 million injuries requiring medical attention and the $ 871 billion in damages and health costs. Additionally, improved assisted driving will enhance the mobility of seniors/disabled. Finally, the technology may reduce the societal carbon footprint by reducing congestion as a result of more fuel-efficient acceleration and braking.This Small Business Innovation Research Phase II project seeks to improve the current ADAS sensor suite to increase safety. Current ADAS systems require many different sensor technologies to be implemented simultaneously. These sensors are insufficient to achieve higher levels of autonomy limiting the vehicle’s used in poor conditions. The proposed sensor solution will function in low light and harsh weather conditions with high performance. The added sensor functionalities will reduce the processor bandwidth required to integrate and analyze sensor data and detect road hazards, increasing the accuracy of the system. Overall, this improvement in performance may increase the overall safety in ADAS vehicles. An evaluation system will be developed to characterize the sensor.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.

基于SBIR传感器解决方案的小型企业创新研究第二阶段项目的更广泛的影响/商业潜力，凭借其高质量和低成本，将使高级驾驶员辅助系统（ADAS）行业加速向更强大的辅助驾驶功能迈进，最终实现完全自主。焦平面阵列（FPAS）芯片可以减少目前美国每年36，560例车辆死亡（1-54岁人群的主要死亡原因），并减少440万起需要医疗护理的伤害以及8710亿美元的损害和健康成本。此外，改进的辅助驾驶将提高老年人/残疾人的流动性。最后，该技术可以通过更省油的加速和制动来减少拥堵，从而减少社会碳足迹。这个小型企业创新研究第二阶段项目旨在改进当前的ADAS传感器套件，以提高安全性。目前的ADAS系统需要同时实施许多不同的传感器技术。这些传感器不足以实现更高水平的自主性，限制了车辆在恶劣条件下的使用。拟议的传感器解决方案将在低光照和恶劣天气条件下发挥高性能。增加的传感器功能将减少集成和分析传感器数据以及检测道路危险所需的处理器带宽，从而提高系统的准确性。总的来说，性能的改善可能会提高ADAS车辆的整体安全性。该奖项反映了NSF的法定使命，并被认为是值得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的支持。