A vision-aided RTK ambiguity resolution method by map lane matching for intelligent vehicle in urban environment-Reference-Cited by-同舟云学术

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A vision-aided RTK ambiguity resolution method by map lane matching for intelligent vehicle in urban environment

Published:2024-07-29 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Zhang Hongjuan¹²,Qian Chuang³,Li Wenzhuo¹,Li Bijun¹²

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, People’s Republic of China

2. Engineering Research Center for Spatio-temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan University, Wuhan, People’s Republic of China

3. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, People’s Republic of China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2383479

Reference42 articles.

1. Lanelets: Efficient map representation for autonomous driving

2. An Automatic Editing Algorithm for GPS data

3. GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State Estimation

4. Carcanague, Sébastien. 2012. “Real-time Geometry-Based Cycle Slip Resolution Technique for Single-Frequency PPP and RTK.” Proceedings of the 25th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2012), 1136–1148.

5. Real-time cycle slip detection in triple-frequency GNSS

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