Improving of GPS localization by 3D vision

通过 3D 视觉改进 GPS 定位

• 批准号: 485164-2015
• 负责人: Tan, Ping
• 金额: $ 1.82万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584769
• 关键词: Improving; GPS; localization; 3D; vision

GPS-based positioning is often poor near high buildings or interferences such as some electronic devices. This research aims to enhance GPS position accuracy by analyzing a video captured from a camera bound to the GPS sensor. This research is particularly useful for unmanned aerial vehicles (UAVs), which mainly rely on GPS for positioning and also often equipped with digital cameras. 3D computer vision algorithms can recover the 3D motion of a video camera from its recorded video frames. These algorithms provide a position measurement independent of that from GPS. By fusing these two position measurements, we can improve the accuracy and coherency of GPS readings. When a satellite image is available, computer vision algorithms allow us to register the motion trajectory to the satellite map to further enhance position reliability. This research will be carried out with MDA, a local company dedicated in UAV applications, to strengthen their products and services.

基于GPS的定位通常在高层建筑物或诸如某些电子设备的干扰附近很差。这 一项研究旨在通过分析从绑定到GPS的摄像机捕获的视频来提高GPS定位精度。 GPS传感器。这项研究对无人驾驶飞行器（UAV）特别有用， GPS用于定位，还经常配备数码相机。3D计算机视觉算法可以恢复 摄像机从其记录的视频帧的3D运动。这些算法提供了一个位置 测量独立于GPS。通过融合这两个位置测量，我们可以提高 GPS读数的准确性和一致性。当卫星图像可用时，计算机视觉算法 使我们能够将运动轨迹记录到卫星地图上，以进一步提高位置可靠性。这 研究将与MDA（一家致力于无人机应用的当地公司）一起进行，以加强他们的 产品和服务