Lane Information Extraction for High Definition Maps Using Crowdsourced Data
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
2. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/4358928/09956852.pdf?arnumber=9956852
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Comprehensive Survey on High-Definition Map Generation and Maintenance;ISPRS International Journal of Geo-Information;2024-07-01
2. Information System Model and Key Technologies of High-Definition Maps in Autonomous Driving Scenarios;Sensors;2024-06-25
3. A Review of Crowdsourcing Update Methods for High-Definition Maps;ISPRS International Journal of Geo-Information;2024-03-20
4. Semantic interpretation of raw survey vehicle sensory data for lane-level HD map generation;Robotics and Autonomous Systems;2024-02
5. Revolutionizing Autonomous Vehicle Intelligence with Cutting-Edge Spatial Crowdsourcing Framework;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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