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An Invisible Salient Landmark Approach to Locating Pedestrians for Predesigned Business Card Route of Pedestrian Navigation

1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China
3
Department of Geography, The University of Tennessee, Knoxville, TN 37996-0925, USA
4
Guangzhou Institute of Geography, Guangzhou 510070, China
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Electronic Information School, Wuhan University, Wuchang District, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(9), 3164; https://doi.org/10.3390/s18093164
Received: 18 July 2018 / Revised: 15 September 2018 / Accepted: 16 September 2018 / Published: 19 September 2018
(This article belongs to the Section Sensor Networks)
Visual landmarks are important navigational aids for research into and design of applications for last mile pedestrian navigation, e.g., business card route of pedestrian navigation. The business card route is a route between a fixed origin (e.g., campus entrance) to a fixed destination (e.g., office). The changing characteristics and combinations of various sensors’ data in smartphones or navigation devices can be viewed as invisible salient landmarks for business card route of pedestrian navigation. However, the advantages of these invisible landmarks have not been fully utilized, despite the prevalence of GPS and digital maps. This paper presents an improvement to the Dempster–Shafer theory of evidence to find invisible landmarks along predesigned pedestrian routes, which can guide pedestrians by locating them without using digital maps. This approach is suitable for use as a “business card” route for newcomers to find their last mile destinations smoothly by following precollected sensor data along a target route. Experiments in real pedestrian navigation environments show that our proposed approach can sense the location of pedestrians automatically, both indoors and outdoors, and has smaller positioning errors than purely GPS and Wi-Fi positioning approaches in the study area. Consequently, the proposed methodology is appropriate to guide pedestrians to unfamiliar destinations, such as a room in a building or an exit from a park, with little dependency on geographical information. View Full-Text
Keywords: landmark; pedestrian route; sensor signal; route guidance; smartphone navigation; Dempster-Shafer theory of evidence landmark; pedestrian route; sensor signal; route guidance; smartphone navigation; Dempster-Shafer theory of evidence
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MDPI and ACS Style

Fang, Z.; Jiang, Y.; Xu, H.; Shaw, S.-L.; Li, L.; Geng, X. An Invisible Salient Landmark Approach to Locating Pedestrians for Predesigned Business Card Route of Pedestrian Navigation. Sensors 2018, 18, 3164. https://doi.org/10.3390/s18093164

AMA Style

Fang Z, Jiang Y, Xu H, Shaw S-L, Li L, Geng X. An Invisible Salient Landmark Approach to Locating Pedestrians for Predesigned Business Card Route of Pedestrian Navigation. Sensors. 2018; 18(9):3164. https://doi.org/10.3390/s18093164

Chicago/Turabian Style

Fang, Zhixiang, Yuxin Jiang, Hong Xu, Shih-Lung Shaw, Ling Li, and Xuexian Geng. 2018. "An Invisible Salient Landmark Approach to Locating Pedestrians for Predesigned Business Card Route of Pedestrian Navigation" Sensors 18, no. 9: 3164. https://doi.org/10.3390/s18093164

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