LTSR: Long-term Semantic Relocalization based on HD Map for Autonomous Vehicles
Author:
Affiliation:
1. Huawei Technologies,Noah's Ark Lab,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811855.pdf?arnumber=9811855
Reference58 articles.
1. Monocular localization in urban environments using road markings
2. Precise Localization in High-Definition Road Maps for Urban Regions
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4. PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
5. LiDAR Iris for Loop-Closure Detection
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1. Observation Time Difference: an Online Dynamic Objects Removal Method for Ground Vehicles;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
4. CMSG: Cross-Media Semantic-Graph Feature Matching Algorithm for Autonomous Vehicle Relocalization;2023 International Symposium on Intelligent Robotics and Systems (ISoIRS);2023-05
5. A Lightweight High Definition Mapping Method Based on Multi-Source Data Fusion Perception;Applied Sciences;2023-03-03
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