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Visual Localization On Oxford Radar Robotcar

Metrics

Mean Translation Error

Results

Performance results of various models on this benchmark

Paper Title
MapNet48.21Geometry-Aware Learning of Maps for Camera Localization
PointNetVLAD28.48PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
DCP18.45Deep Closest Point: Learning Representations for Point Cloud Registration
AD-MapNet18.43Prior Guided Dropout for Robust Visual Localization in Dynamic Environments
AtLoc+17.92AtLoc: Attention Guided Camera Localization
PosePN16.32LiDAR-based localization using universal encoding and memory-aware regression
VMLoc15.11VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
MS-Transformer11.69Learning Multi-Scene Absolute Pose Regression with Transformers
PoseMinkLoc11.20LiDAR-based localization using universal encoding and memory-aware regression
PosePN++10.64LiDAR-based localization using universal encoding and memory-aware regression
PoseSOE8.81LiDAR-based localization using universal encoding and memory-aware regression
HypLiLoc6.00HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
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Visual Localization On Oxford Radar Robotcar | SOTA | HyperAI