Session D1: Robotic and Indoor Navigation


Date: Tuesday, April 25, 2023
Time: 8:30 a.m. - 12:15 p.m.

Session Chairs:
Dr. Mohammed Khider
Dr. Camila Francolin

A PILS and UGV Autopilot Design to Validate the Concept of Using AC Magnetic Field-Based Navigation System for the Unmanned Vehicle: DaeHyeon Jeong, Byeongjin Lee, JaeHyun Yun, Dong Gyun Kim, Sangkyung Sung, Konkuk University
Attitude Estimation Method for Smart Watch Using External Disturbance Model: Jae Hong Lee, Dept. of Aerospace Engineering, Seoul National University; Chan Gook Park, Dept. of Aerospace Engineering / Automation and Systems Research Institute, Seoul National University
Development and Evaluation of a Multisensor RF-Based Positioning System for Underground Mines/Quarries: Manos Orfanos, Harris Perakis, Vassilis Gikas, School of Rural Surveying and Geoinformatics Engineering, NTUA ; Guenther Retscher, Department of Geodesy and Geoinformation, TU Wien
Edge Focused Precise Positioning and Tracking: Hafeez M Chaudhary, Bart Scheers, Royal Military Academy, Belgium
Hips-SC: Hierarchical Primitive and Semantic Scan Context for place recognition using LiDAR and Monocular Image: Mengchi Ai, Ilyar asl sabbaghian hokmabadi, Chrysostomos Minaretzis, Naser El-Sheimy, University of Calgary
Implementation of Real-Time RTK/DGNSS on Smartphones and Positioning Improvement for Millions of Users in Southeast Asia: Xiao Hu, Xiaochuan Gong, Xiaolong Ji, Hann Lam Woo, Minbo Qiu, Bo Hu, Grab Holdings Inc.
Indoor 5G Positioning Using Multipath Measurements: Martin Andersson, Andreas Lidström, Linköping University; Gustav Lindmark, Ericsson AB
Indoor Location Estimation of Electromagnetically Shielded Chassis Utilizing RSSI Fingerprint Pattern Matching: Toshiaki Yokoi, Department of Information Systems, Tokyo City University
Integration of BLE-Based Proximity Detection with Particle Filter for Day-Long Stability in Workplaces: Satoki Ogiso, Ikue Mori, Takahiro Miura, Satoshi Nakae, Takashi Okuma, National Institute of Advanced Industrial Science and Technology (AIST); Yasunori Haga, Shintaro Hatakeyama, Kengo Kimura, Atsushi Kimura, DENSO CORPORATION; Takeshi Kurata, National Institute of Advanced Industrial Science and Technology (AIST)
Vibration-Based Dead-Reckoning for Vehicle Localization: Masakatsu Kourogi, Ryoshuke Ichikari, Takahiro Miura, Takashi Okuma, National Institute of Advanced Industrial Science and Technology

12:15 p.m. – 1:15 p.m. Lunch in the Exhibit Hall