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

Abstracts are listed alphabetically. Once the peer review of the full technical papers is complete, abstracts will be assigned to a presentation or alternate status.

A Combined Approach to Single-Camera-Based Lane Detection in Driverless Navigation: Xin Zhang, Xingqun Zhan, School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China
Behavioral Cloning for Driverless Cars using Transfer Learning: Xin Zhang, Xingqun Zhan, School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China
Combination of Computer Vision Detection and Segmentation for Autonomous Driving: Yu-Ho Tseng, Shau-Shiun Jan, Department of Aeronautics and Astronautics National Cheng Kung University, Taiwan
Estimating Temporally and Spatially Dependent GNSS Errors Across Roadway Networks using Crowdsourced Data: Nigel Williams, Chao Wang, and Matthew Barth, University of California, Riverside
Globally-Referenced Electro-Optical SLAM for Collaborative Mapping and All-Weather Localization: Lakshay Narula, Michael Wooten, Matthew Murrian, Daniel LaChapelle, and Todd Humphreys, The University of Texas at Austin
GNSS Multipath Modeling and Detection in Urban Environment: Shiwen Zhang, Sherman Lo, Yu-Hsuan Chen, Todd Walter, Per Enge, Stanford University
Integrity and Continuity of GPS-based Collision Warning Systems using Vehicle-to-vehicle Communication: Gustavo Lee and Mathieu Joerger, University of Arizona
Quantitative Analysis of GNSS Performance under Railway Obstruction Environment: Debiao Lu, Shuxian Jiang, Baigen Cai, Wei Shangguan, Beijing Jiaotong University, China
Robust Vehicle Localization with Collaborative Mapping of Road-Infrastructure Objects: Fabian de Ponte Müller and Omar García Crespillo, German Aerospace Center (DLR), Germany

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