The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 895–902, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-895-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 895–902, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-895-2019

  05 Jun 2019

05 Jun 2019

THE AUTOMATIC GENERATION OF AN ADAPTIVE NAVIGATION MODEL FOR INDOOR MAP MATCHING

P. Wang1,2, J. Shang1,2, Z. Zhou3, Y. Wu1,2, and W. Sun4 P. Wang et al.
  • 1School of Geography and Information Engineering, China University of Geosciences, Wuhan, China
  • 2National Engineering Research Center for Geographic Information System, Wuhan, China
  • 3GIScience Center, Department of Geography, University of Zurich, Switzerland
  • 4Beijing Satellite Navigation Center, Beijing, China

Keywords: Indoor positioning, Indoor map matching, Navigation model, Space representation, Automatic generation

Abstract. Indoor map matching has been an important technique to improve the indoor localization accuracy because it takes the advantage of available indoor building data and effectively decreases the localization cost. One of the spatial model involved in the indoor map matching, adaptive navigation model, could balance the accuracy and complexity of the model representation required by map matching by combining the medial axes and fine-grained grids according to the movement characteristics of pedestrians in open and narrow areas. In order to reduce the manual effort of producting a large number of models and update them, we propose an algorithm to automatically generate this model. Futermore, we use this algorithm to generate this model for three lab architectures, and the evaluation of the results of the ANM generated by the algorithm proves that the algorithm meets the requirements.