Session D4: Ground Vehicle Navigation

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Date: Wednesday, April 25, 2018
Time: 1:45 p.m. - 5:30 p.m.
Location: Spyglass

Session Chairs:
Dr. Matthew Barth
University of California, Riverside
Dr. David Bevly
Auburn University

1. A Combined Approach to Single-Camera-Based Lane Detection in Driverless Navigation: Xin Zhang, Maolin Chen, Xingqun Zhan, Shanghai Jiao Tong University, China
2. Combination of Computer Vision Detection and Segmentation for Autonomous Driving: Yu-Ho Tseng and Shau-Shiun Jan, National Cheng Kung University, Taiwan
3. GNSS Multipath Detection in Urban Environment Using 3D Building Model: Shiwen Zhang, Sherman Lo, Yu-Hsuan Chen, Todd Walter, and Per Enge, Stanford University
4. Integrity and Continuity of Sensor-Based Collision Warning Systems using Vehicle-to-vehicle Communication: Gustavo Lee and Mathieu Joerger, The University of Arizona
5. Behavioral Cloning for Driverless Cars using Transfer Learning: Xin Zhang, Maolin Chen, and Xingqun Zhan, Shanghai Jiao Tong University, China
6. Quantitative Analysis of GNSS Performance under Railway Obstruction Environment: Debiao Lu, Shuxian Jiang, Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, China; Baigen Cai, Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiantong University, China; Wei Shangguan, Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, China; Kiankai Liu, Jin Luan, CRCC Qingdao Sifang Co., Ltd., China
7. Impact of Positioning Uncertainty on Eco-Approach and Departure of Connected and Automated Vehicles: Nigel Williams, Guoyuan Wu, University of California - Riverside; Pau Closas, Northeastern University

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