Walkie-Markie: Indoor Pathway Mapping Made Easy
By Guobin Shen, Zhuo Chen, Peichao Zhang, Thomas Moscibroda, Yongguang Zhang. Symposium on Networked Systems Design and Implementation, 2013
326 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1e8b7fe00558c95f141d548fa460a4df47ef0769
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Citations in the corpus
- Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, background): “Illustration of temporal signal patterns in Walkie-Markie system [45].”
- A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, background): “For instance, Walkie-Markie exploits the Wi-Fi infrastructure to define landmarks, referred to as WiFi-Marks, to fuse crowdsourced user trajectories obtained from inertial sensors on users’ mobile phones [192].”
- CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach (2016, background): “For example, CrowdInside [33] and Walkie-Markie [34] can detect the shape of the floor plan and build the pathway to obtain the crowdsourced user’s fingerprints.”
- Smartphones Based Crowdsourcing for Indoor Localization (2015, background): “Inspired by recent works, the motion states of users walking across different floors using elevators, escalators, or stairs can be characterized by inertial sensors with advanced detection algorithms [15], [33], [37].”
- A Confidence-Aware Approach for Truth Discovery on Long-Tail Data (2014, background): “A representative example of social sensing is the construction of indoor floorplans [1, 28].”