Map-Assisted Seamless Localization Using Crowdsourced Trajectories Data and Bi-LSTM Based Quality Control Criteria
Author:
Affiliation:
1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Funder
The Hong Kong Polytechnic University
The State Bureau of Surveying and Mapping, China
Hong Kong Research Grants Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9857501/09833391.pdf?arnumber=9833391
Reference30 articles.
1. SoiCP: A Seamless Outdoor–Indoor Crowdsensing Positioning System
2. Indoor Localization Using K-Pairwise Light Emitting Diode Image-Sensor-Based Visible Light Positioning
3. Efficient and Scalable Calibration-Free Indoor Positioning Using Crowdsourced Data
4. A Hybrid Fingerprint Quality Evaluation Model for WiFi Localization
5. Mitigating Large Errors in WiFi-Based Indoor Localization for Smartphones
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