Precise 3D Indoor Localization and Trajectory Optimization Based on Sparse Wi-Fi FTM Anchors and Built-In Sensors
Author:
Affiliation:
1. Land Surveying and Geo-Informatics Department, 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
Hong Kong Polytechnic University
State Bureau of Surveying and Mapping
Hong Kong Research Grants Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/9765825/09699081.pdf?arnumber=9699081
Reference40 articles.
1. Robust and Autonomous Stereo Visual-Inertial Navigation for Non-Holonomic Mobile Robots
2. Deep neural network‐based Wi‐Fi/pedestrian dead reckoning indoor positioning system using adaptive robust factor graph model
3. Tightly-Coupled Integration of WiFi and MEMS Sensors on Handheld Devices for Indoor Pedestrian Navigation
4. Robust Pedestrian Dead Reckoning Based on MEMS-IMU for Smartphones
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