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摘要:
This paper deals with the error analysis of a novel navigation algorithm that uses as input the sequence of images acquired from a moving camera and a Digital Terrain (or Elevation) Map (DTM/DEM). More specifically, it has been shown that the optical flow derived from two consecutive camera frames can be used in combination with a DTM to estimate the position, orientation and ego-motion parameters of the moving camera. As opposed to previous works, the proposed approach does not require an intermediate explicit reconstruction of the 3D world. In the present work the sensitivity of the algorithm outlined above is studied. The main sources for errors are identified to be the optical-flow evaluation and computation, the quality of the information about the terrain, the structure of the observed terrain and the trajectory of the camera. By assuming appropriate characterization of these error sources, a closed form expression for the uncertainty of the pose and motion of the camera is first developed and then the influence of these factors is confirmed using extensive numerical simulations. The main conclusion of this paper is to establish that the proposed navigation algorithm generates accurate estimates for reasonable scenarios and error sources, and thus can be effectively used as part of a navigation system of autonomous vehicles.
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篇名 Correction of Inertial Navigation System’s Errors by the Help of Video-Based Navigator Based on Digital Terrarium Map
来源期刊 导航(英文) 学科 医学
关键词 Video-Based NAVIGATOR Digital Terrarium MAP Autonomous Vehicles INERTIAL Navigation
年,卷(期) dhyw_2013,(1) 所属期刊栏目
研究方向 页码范围 89-108
页数 20页 分类号 R73
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研究主题发展历程
节点文献
Video-Based
NAVIGATOR
Digital
Terrarium
MAP
Autonomous
Vehicles
INERTIAL
Navigation
研究起点
研究来源
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研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
导航(英文)
季刊
2150-850X
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
97
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0
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