SBIR Phase I: Navigation Aiding from Mosaicked Imagery

SBIR 第一阶段：马赛克图像的导航辅助

• 批准号: 0912466
• 负责人: James Kain
• 金额: $ 10万
• 依托单位: GeoVantage Incorporated
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0912466&HistoricalAwards=false
• 关键词: SBIR; Phase; Navigation; Aiding; Mosaicked

This Small Business Innovation Research Phase I research proposal addresses synergistic integration of navigation and environmental sensing instruments on manned or autonomous ground or air vehicles to both improve information registration accuracy and reduce costs of hardware. This will enable use of low cost Micro Electro-Mechanical Systems (MEMS) Inertial Measurement Units (IMU) and will relax export requirements for remote sensing hardware heretofore based upon military-derived IMU components. This research will address the use of a digital camera and MEMS IMU that are tightly integrated in a novel manner so that navigation will occur within a coordinate frame that is fixed within the surrounding scene as observed by the digital remote sensing camera.Remote Sensing involves sensing physical properties of terrestrial objects from a distance and registering the sensed information into a geodetic reference frame. Such registration is critical for merging related data sources and for change detection from sequential data collects. Direct Geo-registration (DG) involves performing registration without prior knowledge of geodetic survey information collected from the vicinity of the sensed feature. Precision navigation using inertial navigation and GPS is a fundamental aspect of modern approaches to DG. Detection, tracking and subsequent re-acquisition of sensed features can be used as additional aides for improved navigation.This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).

这项小企业创新研究第一阶段研究提案旨在将导航和环境传感仪器协同整合到有人或自动地面或飞行器上，以提高信息登记的准确性，并降低硬件成本。这将使低成本的微电子机械系统(MEMS)惯性测量单元(IMU)的使用成为可能，并将放宽迄今基于军用IMU组件的遥感硬件的出口要求。这项研究将解决数字相机和MEMS IMU的使用，它们以一种新颖的方式紧密结合在一起，以便导航将在数字遥感相机观察到的周围场景中固定的坐标系内发生。遥感涉及从远处感知陆地物体的物理特性，并将所感知的信息登记到大地参考系中。这种登记对于合并相关数据源和从顺序数据收集中检测变化至关重要。直接地理配准(DG)涉及在不事先知道从感测地物附近收集的大地测量信息的情况下执行配准。利用惯性导航和GPS进行精确导航是现代制导方法的一个基本方面。探测、跟踪和随后重新获取感测特征可用作改进导航的额外助手。该奖项由2009年《美国复苏和再投资法案》(公法111-5)资助。