Indoors Locality Positioning Using Cognitive Distances and Directions
AbstractSpatial relationships are crucial to spatial knowledge representation, such as positioning localities. However, minimal attention has been devoted to positioning localities indoors with locality description. Distance and direction relations are generally used when positioning localities, namely, translating descriptive localities into spatially explicit ones. We propose a joint probability function to model locality distribution to address the uncertainty of positioning localities. The joint probability function consists of distance and relative direction membership functions. We propose definitions and restrictions for the use of the joint probability function to make the locality distribution highly practical. We also evaluate the performance of our approach through indoor experiments. Test results demonstrate that a positioning accuracy of 3.5 m can be achieved with the semantically derived spatial relationships. View Full-Text
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Wang, Y.; Fan, H.; Chen, R. Indoors Locality Positioning Using Cognitive Distances and Directions. Sensors 2017, 17, 2828.
Wang Y, Fan H, Chen R. Indoors Locality Positioning Using Cognitive Distances and Directions. Sensors. 2017; 17(12):2828.Chicago/Turabian Style
Wang, Yankun; Fan, Hong; Chen, Ruizhi. 2017. "Indoors Locality Positioning Using Cognitive Distances and Directions." Sensors 17, no. 12: 2828.
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