Session D1: Robotic and Indoor Navigation

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Date: Tuesday, April 24, 2018
Time: 8:30 a.m. - 12:15 p.m.
Location: Spyglass

Session Chairs:
Dr. Anthony Rowe
Carnegie Mellon University
Dr. Laura Ruotsalainen
Finnish Geospatial Research Institute, Finland

1. SLAM-based Pseudo-GNSS/INS Localization System for Indoor LiDAR Mobile Mapping Systems: Tamer Shamseldin, Ankit Manerikar, Magdy Elbahnasawy, and Ayman Habib, Purdue University
2. Improvements in Pedestrian Movement Prediction by Considering Multiple Intentions in a Multi-Hypotheses Filter: Florian Particke, Markus Hiller, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany; Christian Feist, AUDI AG, Germany; Jörn Thielecke, FAU, Germany
3. A Smart Phone based Multi-Floor Indoor Positioning System for Occupancy Detection: Md Shadab Mashuk, James Pinchin, Peer-Olaf Siebers, Terry Moore, University of Nottingham, UK
4. Utilization of Weak Received Signal Strength for Accurate Indoor Position Estimation: Toshiaki Yokoi, Tokyo City University, Japan; Kazuki Oikawa, Digital Arts Inc., Japan
5. Graphical Kalman Filter: Boxian Dong, Thomas Burgess, indoo.rs GmbH, Austria; Hans-Bernd Neuner, TU Wien, Austria
6. Indoor Navigation Using Wi-Fi Fingerprinting Combined with Pedestrian Dead Reckoning: Shan-Jung Yu, Shau-Shiun Jan, National Cheng Kung University, Taiwan; David S. De Lorenzo, Trimble, Inc., USA
7. Laser-Camera Based 3D Reconstruction of Indoor Environments: Jamal Atman, Institute of Systems Optimization (ITE), Karlsruhe Institute of Technology (KIT), Germany; Gert F. Trommer, ITE, KIT, Germany and ITMO University, Russia

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

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