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3D Place Recognition On Oxford Robotcar

Metrics

AR@1
AR@1%

Results

Performance results of various models on this benchmark

Paper TitleCode
CrossLoc3D94.3698.59CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
PPT-Net93.598.1Pyramid Point Cloud Transformer for Large-Scale Place Recognition
Minkloc3D93.097.9-
SVT-Net93.797.8SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
soe-net-96.4SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
LPD-Net86.394.9LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
Minkloc3D-S82.093.1MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
DH3D74.285.3DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
PCAN-83.8PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
pointnetvlad-80.3PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
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3D Place Recognition On Oxford Robotcar | SOTA | HyperAI超神经