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  • 标题:Research on Positioning and Posing of Mobile Mapping in Metropolis
  • 本地全文:下载
  • 作者:Wang Weian ; Ou Jianliang ; Bao Feng
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII Part B5
  • 页码:903-908
  • 出版社:Copernicus Publications
  • 摘要:Mobile mapping, a revolutionary surveying and mapping technology with multi-sensor and 3S (GPS, GIS and RS) integration, is a typical approach to satisfy the upcoming demand for efficient data capture and updating of geo-spatial data in traditional methods limited situation. The positioning and posing sub-system provides direct georeferencing for mobile mapping. The issue on how to ensure the positioning accuracy in metropolis is highlighted. Generally, it is solved by integration with differential GPS and INS/DR. Another side, network RTK has more advantages such as real-time data processing, no base and no working range limitation, is more suitable for city mobile mapping, but its signals are significantly affected by city environment. The paper presents a solution to filter the network RTK dynamic positioning data, and improve the ability and reliability for mobile mapping direct georeferencing. We analyzed city mobile platform's positioning data in different GPS modes, including DGPS, network RTK, and got the dynamic characteristics. GPS Doppler measurement provides cm/s level 3D speed even in single GPS mode without the requirement of GPS ambiguity issue in 0.1s interval, then used to filter rude data in network RTK 1s interval positioning data. Experiments were performed with the mobile mapping field work in Yan'an Road of Shanghai, which involves overhead mainlines, viaducts, skyscrapers, and other typical city characteristics. The filter results proved that this filter method is effective in extinguishing errors in dynamic network RTK data and improving the reliability of mobile mapping positioning data
  • 关键词:Mobile mapping; GPS Doppler measurement; Dynamic characteristic analysis; Network RTK; Position data ; filtering
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