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.

这个小型企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力，使低成本，高性能的传感广泛的商业应用。机器人和自动化技术正在崛起。 自主系统必须在高安全标准下运行，同时保持高效率以完成任务。第一阶段项目的重点是机器人传感，为各行各业的应用提供更好的信息和决策能力。这项工作解决了对安全机器人和自动化日益增长的需求。这项小型企业创新研究（SBIR）第一阶段项目旨在改善真实的世界中的传感和决策，重点是机器人应用。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调整。这种定制是通过融合来自多个来源的人类以上级别的数据和上下文线索的合成来实现的，以更好地理解机器可观察性。这项工作的成果将是为机器人平台调整的累积、高性能传感和决策解决方案。该技术旨在展示提供集成传感器系统的能力，该系统是冗余的，可靠的，廉价的，并且基于现有的自主机器人系统易于部署。该项目将专门为低速自主移动的机器人应用提供障碍物检测能力。该奖项反映了NSF的法定使命，并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，被认为值得支持。