Smartphone-Based Pedestrian Inertial Tracking: Dataset, Model, and Deployment
Author:
Affiliation:
1. School of Software Engineering, Beijing Jiaotong University, Beijing, China
2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China
3. China Electronics Standardization Institute, Beijing, China
Funder
Beijing Nova Program
NSFC
Beijing NSF
DiDi Research Collaboration Plan
OPPO Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10367905/10373097.pdf?arnumber=10373097
Reference72 articles.
1. Inertial Indoor Pedestrian Navigation Based on Cascade Filtering Integrated INS/Map Information
2. Glow in the Dark: Smartphone Inertial Odometry for Vehicle Tracking in GPS Blocked Environments
3. Improving data fusion in personal positioning systems for outdoor environments
4. Localization in Structured Environments with UWB Devices without Acceleration Measurements, and Velocity Estimation Using a Kalman–Bucy Filter
5. A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives
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