BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR
Author:
Affiliation:
1. University of Oxford,Mobile Robotics Group (MRG)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981266.pdf?arnumber=9981266
Reference31 articles.
1. PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
2. Pointnet++: Deep hierarchical feature learning on point sets in a metric space;qi;Advances in neural information processing systems,2017
3. NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
4. LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
5. Exploring Performance Bounds of Visual Place Recognition Using Extended Precision
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1. LiDAR-Based Semantic Place Recognition in Dynamic Urban Environments;IEEE Sensors Journal;2024-09-01
2. LiDAR‐based place recognition for mobile robots in ground/water surface multiple scenes;Journal of Field Robotics;2024-08-31
3. That’s My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
5. Triplet-Graph: Global Metric Localization Based on Semantic Triplet Graph for Autonomous Vehicles;IEEE Robotics and Automation Letters;2024-04
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