Inside GNSS Media & Research

JUL-AUG 2019

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www.insidegnss.com J U L Y / A U G U S T 2 0 1 9 Inside GNSS 55 Manufacturers In the Experiment Setup and Result sec- tion of this article, the receiver used to collect raw GPS and BeiDou measure- ments, is the M8T from u-blox (alwil, Switzerland), while the 3-D LiDAR sen- sor, the Velodyne 32, is from Velodyne (San Jose, California, USA). In addi- tion, the NovAtel SPAN-CPT, GNSS RTK/INS (fiber optic gyroscopes) inte- grated navigation system from NovAtel (Calgary, Canada) is used to provide the ground truth of positioning. Additional Resources (1) Groves, P. D., (2016), "It's time for 3-D Map- ping-Aided GNSS," Inside GNSS, September/ October 2016. (2) P. Groves, L. Wang., Marek Ziebart (2012). "Shadow Matching: Improved GNSS Accuracy in Urban Canyons." GPS World. (3) A. M. Herrera, H. F. Suhandri, E. Realini, M. Reguzzoni and M. C. de Lacy (2016), "goGPS: open-source MATLAB software." GPS Solu- tions 20(3): 595-603. (4) L.-T. Hsu (2018), "Analysis and modeling GPS NLOS effect in highly urbanized area." GPS Solutions 22(1): 7. (5) L.-T. Hsu, S. Miura, S. Kamijo Street Smart: 3D City Mapping and Modeling for Position- ing with Multi-GNSS, GPS World. (6) M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler and A. Y. Ng (2009), ROS: an open-source Robot Operat- ing System. ICRA workshop on open source software, Kobe, Japan. (7) T. Suzuki, and N. Kubo (2014), N-LOS GNSS Signal Detection Using Fish-Eye Camera for Vehicle Navigation in Urban Environments. ION GNSS+ 2014, Tampa, Florida. (8) W. Wen, G. Zhang and L.-T. Hsu (2018), Cor- recting GNSS NLOS by 3D LiDAR and Building Height. ION GNSS+ 2018, Miami, Florida, USA. (9) X. Bai, W. Wen, G. Zhang, L.-T. Hsu (2019), "Real-time GNSS NLOS Detection and Correc- tion Aided by Sky-Pointing Camera and 3D LiDAR. pacific PNT conference. Hilton Waikiki Beach Honolulu, Hawaii. Authors Weisong Wen is currently a P h . D . c a n d i d a t e a t Department of Mechanical Engineering, Hong Kong Polytechnic University. In 2018, He was a visiting stu- dent in mechanical system laboratory in University of California, Berkeley. His research interests include perceived envi- ronment aided GNSS positioning and multi- sensor integrated localization for autono- mous driving. Li-Ta Hsu received B.S. and Ph.D. degree in Aeronautics and A s tronautic s f rom N a t i o n a l C h e n g Ku n g University, Taiwan, in 2007 and 2013, respectively. He is c u r re nt l y a n A s sis t a nt Professor in the Interdisciplinary Division of Aeronautical and Aviation Engineering at The Hong Kong Polytechnic University. His research focus is GNSS positioning and signal process- ing in challenged environments.

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