Session C5: Navigation Using Environmental Features

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Date: Thursday, April 26, 2018
Time: 8:30 a.m. - 12:15 p.m.
Location: Windjammer

Session Chairs:
Steve Rounds
John Deere
Dr. Maarten Uijt de Haag
Ohio University

1. Cooperative Simultaneous Localization and Mapping for Pedestrians using Low-Cost Ultra-Wideband System and Gyroscope: Christian Gentner, Markus Ulmschneider and Thomas Jost, German Aerospace Center (DLR), Germany
2. Enhanced Acceleration Phase Tracking for Moving Platform Detection in 3D Indoor Navigation: Susanna Kaiser, German Aerospace Center (DLR), Germany
3. First-Person Indoor Navigation via Vision-Inertial Data Fusion: Amirreza Farnoosh, Mohsen Nabian, Pau Closas, Sarah Ostadabbas, Northeastern University
4. A Machine Learning Approach for Localization in Cellular Environments: Ali A. Abdallah and Samer S. Saab, Lebanese American University, Lebanon; Zaher M. Kassas, University of California, Riverside
5. Relative Train Localization with Magnetic Field Measurements: Benjamin Siebler, Oliver Heirich, and Stephan Sand, German Aerospace Center (DLR), Institute of Communications and Navigation, Germany
6. Geolocalization via Tracking of Wideband Radio Astronomical Sources in the Presence of Radio Frequency Interference: Muhammet Emin Yanik and Murat Torlak, University of Texas at Dallas
7. A Methodology for Estimation of Ground Phenomena Propagation: Sharon Rabinovich, Renwick E. Curry, and Gabriel Hugh Elkaim, University of California Santa Cruz
8. A Probabilistic Measurement Method for Terrain Aided Navigation for Airborne Platforms: Görkem Kandemir and Haluk Erdem Bingöl, Navigation Division, Tubitak Sage, Turkey
Alternates
1. An Environment Recognition Method for MAVs using a Smartphone: Yaning Wang, Li Fu, Lingling Wang, Yandong Wang, Beihang University, China
2. Performance Evaluation of the 3D MAP Based Precise Positioning and its Application: Nobuaki Kubo and Rei Furukawa, Tokyo University of Maritime Science and Technology, Japan
3. Importance Sampling Kalman Filter for Urban Canyon Navigation: Yeongkwon Choe, Chan Gook Park, Seoul National University, Republic of Korea; Jin Woo Song, Sejong University, Republic of Korea
4. Study on the use of Q-R Codes as Landmarks for Indoor Positioning: Preliminary Results: Zheqi Li and Jidong Huang, California State University, Fullerton

12:15 p.m. - 1:45 p.m. Awards Luncheon (late arrivals will not be served after 12:30 p.m.)

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