SBIR Phase I: Multi-Sensor 12U Spacecraft with On-Board Data Fusion and Processing

SBIR 第一阶段：具有机载数据融合和处理功能的多传感器 12U 航天器

• 批准号: 1936849
• 负责人: Amit Mehra
• 金额: $ 22.43万
• 依托单位: NOVI LLC
• 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: 2020-01-01 至 2020-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1936849&HistoricalAwards=false
• 关键词: SBIR; Phase; Multi; Sensor; 12U

The broader impact of this Small Business Innovation Research (SBIR) Phase I project will be to enable a new generation of small satellites to aid many essential functions ranging from environmental management and law enforcement to natural disaster evaluation and urban studies, improving forestry and agricultural yields, oil and gas pipeline inspection, emissions and marine pollution monitoring, land-use surveys and planning, and a host of other commercial, industrial, environmental and humanitarian use-cases. The technology will enable access to a $10B addressable market of new space applications. The proposed project will develop a new approach to small satellite constellation operations through integrated on-board data fusion and processing. The technology is a first-of-its-kind, high payload volume bus closely coupled with image processing and object detection techniques based on neural net technologies. This is a deeply layered approach that create “edge-intelligence” on the satellite itself. This project will: 1) use building detection as a notional example to demonstrate a proof-of-concept deep learning system fusing data from multiple sources (in this case, visible RGB and short wave infra-red imagery); 2) assess the performance and compatibility of the data fusion and processing algorithms on a low size, weight and power (SWaP) processor customized for space-based 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.

这个小企业创新研究（SBIR）第一阶段项目的更广泛影响将是使新一代小型卫星能够协助许多基本功能，包括环境管理和执法、自然灾害评价和城市研究、提高林业和农业产量、石油和天然气管道检查、排放和海洋污染监测、土地使用调查和规划以及许多其他商业、工业、环境和人道主义用例。这项技术将使我们能够进入价值100亿美元的新空间应用潜在市场。拟议的项目将通过集成的机载数据融合和处理，开发一种小卫星星座操作的新方法。该技术是一种首创的高载荷总线，与基于神经网络技术的图像处理和目标检测技术紧密结合。这是一种深层次的方法，可以在卫星本身上创造“边缘智能”。该项目将：1)以建筑检测为概念示例，演示融合多源数据（在本例中为可见RGB和短波红外图像）的概念验证深度学习系统；2)在为天基应用定制的低尺寸、重量和功耗（SWaP）处理器上评估数据融合和处理算法的性能和兼容性。该奖项反映了美国国家科学基金会的法定使命，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。