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Visual Localization
Visual Localization On Oxford Radar Robotcar
Visual Localization On Oxford Radar Robotcar
Metrics
Mean Translation Error
Results
Performance results of various models on this benchmark
Columns
Model Name
Mean Translation Error
Paper Title
Repository
PointNetVLAD
28.48
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
PosePN
16.32
LiDAR-based localization using universal encoding and memory-aware regression
MapNet
48.21
Geometry-Aware Learning of Maps for Camera Localization
PosePN++
10.64
LiDAR-based localization using universal encoding and memory-aware regression
PoseMinkLoc
11.20
LiDAR-based localization using universal encoding and memory-aware regression
PoseSOE
8.81
LiDAR-based localization using universal encoding and memory-aware regression
VMLoc
15.11
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
DCP
18.45
Deep Closest Point: Learning Representations for Point Cloud Registration
AtLoc+
17.92
AtLoc: Attention Guided Camera Localization
MS-Transformer
11.69
Learning Multi-Scene Absolute Pose Regression with Transformers
HypLiLoc
6.00
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
AD-MapNet
18.43
Prior Guided Dropout for Robust Visual Localization in Dynamic Environments
0 of 12 row(s) selected.
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