SBIR Phase I: Development of a midwave infrared plenoptic camera prototype

SBIR 第一阶段：中波红外全光相机原型的开发

• 批准号: 2014933
• 负责人: Eugene Petilli
• 金额: $ 22.5万
• 依托单位: OWL AUTONOMOUS IMAGING 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: 2020-05-15 至 2021-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2014933&HistoricalAwards=false
• 关键词: SBIR; Phase; Development; midwave; infrared

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to demonstrate the viability of a new camera solution for night or day and in adverse weather. Today's automatic driver assist systems are often inadequate for identifying pedestrians at night or in poor conditions. This project will demonstrate a camera solution that will operate day and night, in all weather, and detects and classifies pedestrians, cyclists, animals as well as vehicles (either moving or stationary), thereby unlocking safer vehicle operation and saving lives.This Small Business Innovation Research (SBIR) Phase I project addresses a shortcoming of contemporary autonomous vehicle sensors by introducing a high-resolution 3D sensor that performs well in any lighting condition and most weather conditions. The research builds upon light field, or plenoptic, technologies proven effective in the visible domain and applies them to the thermal domain with additional innovations. A purpose-built microlens array (MLA) is coupled with a mid-wave infrared (MWIR) camera and new thermal computational photogrammetry algorithms to deliver dense 2D and range information with sufficient detail to quickly classify surrounding objects. In particular, it will be shown that 3D MWIR video is ideally suited to readily detect and classify objects that may move such as pedestrians, vehicles and animals.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.

这项小型企业创新研究（SBIR）I阶段项目的更广泛的影响/商业潜力是证明新的相机解决方案在夜晚或不利天气下的可行性。当今的自动驾驶员辅助系统通常不足以在晚上或状况恶劣处识别行人。 该项目将展示一种摄像机解决方案，该解决方案将在所有天气中，在所有天气中运行，并对行人，骑自行车者，动物以及车辆以及车辆（移动或静止）进行分类，从而释放更安全的车辆操作并挽救生命。这一小型企业创新研究（SBIR）I期项目涉及当代自动驾驶范围的较高的灯光，以实现当代的自动驾驶范围，以实现当代人的高位，并置于当代人的特点，并以现代的态度构成了一个较高的迹象，并以现代的态度构成了一个较高的纽带，并以现代的态度构成了 - 以现代的态度 - 以确定的态度 - 以确定的态度，并介绍了一个较高的企业，并介绍了一个较高的工具。大多数天气条件。该研究基于光场或全体性技术，被证明在可见域中有效，并通过其他创新将其应用于热域。专用的Microlens阵列（MLA）与中波红外（MWIR）摄像头和新的热计算摄影测量算法结合使用，以提供密集的2D和范围信息，并具有足够的细节，以快速对周围的对象进行分类。特别是，将显示3D MWIR视频非常适合轻松检测和分类可能移动的对象，例如行人，车辆和动物。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来获得支持的。