SBIR Phase I: Autonomous Vehicle Multi-Sensor Obstacle Detection Safety System

SBIR第一阶段：自动驾驶汽车多传感器障碍物检测安全系统

• 批准号: 2111628
• 负责人: Sara Jennings
• 金额: $ 25.6万
• 依托单位: ORION LABS LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2111628&HistoricalAwards=false
• 关键词: SBIR; Phase; Autonomous; Vehicle; Multi

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project enables low-cost, high-performance sensing for a wide range of commercial applications. Robotics and automation technology are on the rise. Autonomous systems must perform at high standards of safety while maintaining high efficiencies for task completion. The Phase I project is focusedon robotic sensing to provide better information and decision-making capabilities to applications across industries. This work addresses the ever growing need for safe robotics and automation.This Small Business Innovation Research (SBIR) Phase I project seeks to improve sensing and decision making in the real world with a focus on robotic applications. During this phase, the performance of existing sensing and processing solutions will be tailored to specific target environments. This tailoring is enabled by fusing synthesis of above-human level data and contextual cues from multiple sources to build better understand machine observables. The output from this effort will be a cumulative, high-performance sensing and decision-making solution tuned for robotic platforms. The technology seeks to demonstrate the ability to provide an integrated sensor system that is redundant, reliable, cheap, and easily deployable based on existing autonomous robotic systems. The project will specifically enable obstacle detection capabilities for low-speed autonomous mobile robotic applications.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.

该小型企业创新研究 (SBIR) 第一阶段项目具有更广泛的影响/商业潜力，可为广泛的商业应用提供低成本、高性能的传感。机器人和自动化技术正在兴起。 自主系统必须以高安全标准执行，同时保持任务完成的高效率。第一阶段项目专注于机器人传感，为跨行业的应用提供更好的信息和决策能力。这项工作满足了对安全机器人和自动化不断增长的需求。这个小型企业创新研究 (SBIR) 第一阶段项目旨在改善现实世界中的传感和决策，重点关注机器人应用。在此阶段，现有传感和处理解决方案的性能将根据特定的目标环境进行定制。这种定制是通过融合高于人类水平的数据和来自多个来源的上下文线索的综合来实现的，以构建更好地理解机器可观察到的结果。这项工作的成果将是一个针对机器人平台调整的累积的高性能传感和决策解决方案。该技术旨在展示提供基于现有自主机器人系统的冗余、可靠、廉价且易于部署的集成传感器系统的能力。该项目将专门为低速自主移动机器人应用提供障碍物检测功能。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。