Session A6: Developments in Indoor Positioning

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Date: Friday, September 28, 2018
Time: 1:45 p.m. - 4:50 p.m.

Session Chairs:
Christian Gentner
German Aerospace Center (DLR), Germany
Dr. Mojtaba Bahrami
Intel

1. WiDeep: Learning Featured Fingerprints with DBN framework for Indoor Localization: Yan Hong, Jiuchao Qian, Yuze Wang, Qiang Liu, Huiping Zhu, Rendong Ying, Peilin Liu, Shanghai Jiao Tong University, China
2. Simultaneous Localization of a Receiver and Mapping of Multipath Generating Geometry in Indoor and Urban Environments: Christian Gentner, Markus Ulmschneider, Thomas Jost, German Aerospace Center (DLR), Germany
3. A Novel Approach of Passive Localization for Indoor Positioning: Martin Schmidhammer and Christian Gentner, German Aerospace Center (DLR), Germany
4. A Novel Dimension Reduction Algorithm for Fingerprint Positioning based on GrDOP and Geometric Constraints: Wen Liu, Xinyu Zheng, Zhongliang Deng, Lianming Xu, Beijing University of Posts and Telecommunications, China
5. Fast Prototyping of an SDR WLAN 802.11b Receiver for an Indoor Positioning Systems: Erick Schmidt and David Akopian, The University of Texas at San Antonio
6. Augmented Reality and UWB Technology Fusion: Localization of Objects with Head Mounted Displays: Francisco Molina Martel, Juri Sidorenko, Christoph Bodensteiner, Michael Arens, Fraunhofer IOSB, Germany
7. Design and Implementation of High-Precision UWB Indoor Positioning System with Numerous Users: Wei Wang, Zhenyu Wei, Junjie Yang, Ping Liu, College of Automation, Harbin Engineering University, China
8. Indoor Autonomous Vehicle Navigation Based on a Wireless Position and Orientation Determination System: Zheng Cao, Sihao Zhao, Xiaowei Cui, Mingquan Lu, Tsinghua University, China
Alternates
1. A New Algorithm for Indoor RSSI Radio Map Reconstruction: Weixing Xue, Xianghong Hua, Qingquan Li, Kegen Yu, Weining Qiu, Baoding Zhou, Kai Cheng and Wei Zhang, W. Xue, X. Hua , W. Qiu and W. Zhang, School of Geodesy and Geomatics, Wuhan University, China; Q. Li, B. Zhou and K. Chen, Department of Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, China; K. Yu, School of Environmental Science and Spatial Informatics, China University of Mining and Technology & Wuhan University, China
2. A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation: Erick Schmidt and David Akopian, The University of Texas at San Antonio
3. Indoor Navigation and Positioning Method Based on Multi-source Information Fusion: Liu Jingbin, Yang Fan, Li Zheng, Tong Pengfei, Xu Beini, Cai Linhao, Wuhan University, China
4. 3D Modelling of Indoor Environment with Low Cost RGB-D Sensor: Yaxin Li, Wu Chen, The Hong Kong Polytechnic University, Faculty of Construction and environment, Department of Land, Surveying and Geo-Informatics, Hong Kong

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