MMSs have been applied widely for acquiring spatial information in applications such as GIS and 3D city models. Nowadays the most common technologies used for MMS positioning and orientation include using GPS as a major positioning sensor and INS as the major orientation sensor. In the classical approach, the limitation of KF and the price of overall multi-sensor systems have limited the popularization of most land-based MMS applications. Although intelligent sensor positioning and orientation schemes have been proposed consisting of MFNN, one of the most famous ANNs, and KF/RTS, in order to enhance the performance of a low cost MEMS INS/GPS integrated system, the automation of the MFNN applied is not as easy as initially expected. Therefore, this study not only addresses the problems of insufficient automation in the conventional methodology that has been applied in MFNNKF/ RTS algorithms for INS/GPS integrated system proposed in previous studies, but also exploits and analyzes the idea of developing alternative intelligent sensor positioning and orientation schemes that integrate various sensors in a more automatic way. The proposed schemes are implemented using SGN to overcome the limitations of conventional techniques based on the KF/RTS algorithms as well as previously developed MFNN-KF/RTS schemes. The SGN(CCN)also has the advantage of a more flexible topology compared to the MFNN for INS/GPS integration. The results presented in this article illustrate the effectiveness of the proposed schemes over both KF/RTS algorithms as well as the MFNN-KF/RTS schemes.
|期刊||International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives|
|出版狀態||Published - 2010 一月 1|
|事件||2010 Canadian Geomatics Conference and Symposium of Commission I, ISPRS Convergence in Geomatics - Shaping Canada's Competitive Landscape - Calgary, Canada|
持續時間: 2010 六月 15 → 2010 六月 18
All Science Journal Classification (ASJC) codes