MapCVV: On-Cloud Map Construction Using Crowdsourcing Visual Vectorized Elements Towards Autonomous Driving
Author:
Affiliation:
1. Department of Smart Driving Product, IAS BU, Huawei Technologies, Shagnhai, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10504377/10517387.pdf?arnumber=10517387
Reference24 articles.
1. A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving
2. MapTR: Structured modeling and learning for online vectorized HD map construction;Liao,2023
3. Lanesegnet: Map learning with lane segment perception for autonomous driving;Li,2024
4. Low-drift and real-time lidar odometry and mapping
5. LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
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