Indoor maps are integral to pedestrian navigation systems, an essential element of intelligent transportation systems (ITS). In this paper, we propose ALIMC, i.e., Activity Landmark-based Indoor Mapping system via Crowdsourcing. ALIMC can automatically construct indoor maps for anonymous buildings without any prior knowledge using crowdsourcing data collected by smartphones. ALIMC abstracts the indoor map using a link–node model in which the pathways are the links and the intersections of the pathways are the nodes, such as corners, elevators, and stairs. When passing through the nodes, pedestrians do the corresponding activities, which are detected by smartphones. After activity detection, ALIMC extracts the activity landmarks from the crowdsourcing data and clusters the activity landmarks into different clusters, each of which is treated as a node of the indoor map. ALIMC then estimates the relative distances between all the nodes and obtains a distance matrix. Based on the distance matrix, ALIMC generates a relative indoor map using the multidimensional scaling technique. Finally, ALIMC converts the relative indoor map into an absolute one based on several reference points. To evaluate ALIMC, we implement ALIMC in an office building. Experiment results show that the 80th percentile error of the mapping accuracy is about 0.8–1.5 m.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    ALIMC: Activity Landmark-Based Indoor Mapping via Crowdsourcing


    Contributors:
    Zhou, Baoding (author) / Li, Qingquan (author) / Mao, Qingzhou (author) / Tu, Wei (author) / Zhang, Xing (author) / Chen, Long (author)


    Publication date :

    2015-10-01


    Size :

    1860757 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Dynamic indoor mapping for AVP: Crowdsourcing mapping without prior maps

    ZhiHong Jiang / Haobin Jiang / ShiDian Ma | DOAJ | 2024

    Free access

    Dynamic indoor mapping for AVP: Crowdsourcing mapping without prior maps

    Jiang, ZhiHong / Jiang, Haobin / Ma, ShiDian | Wiley | 2024

    Free access

    Mapping and Localization Based on Indoor Digital Landmark Map Through MI-CSURF

    Qing-ji, G. A. O. / Rong, F. A. N. G. / Pei-ran, Y. U. | Springer Verlag | 2021