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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	Repository
MapNet	48.21	Geometry-Aware Learning of Maps for Camera Localization
PointNetVLAD	28.48	PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
DCP	18.45	Deep Closest Point: Learning Representations for Point Cloud Registration
AD-MapNet	18.43	Prior Guided Dropout for Robust Visual Localization in Dynamic Environments	-
AtLoc+	17.92	AtLoc: Attention Guided Camera Localization
PosePN	16.32	LiDAR-based localization using universal encoding and memory-aware regression	-
VMLoc	15.11	VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
MS-Transformer	11.69	Learning Multi-Scene Absolute Pose Regression with Transformers
PoseMinkLoc	11.20	LiDAR-based localization using universal encoding and memory-aware regression	-
PosePN++	10.64	LiDAR-based localization using universal encoding and memory-aware regression	-
PoseSOE	8.81	LiDAR-based localization using universal encoding and memory-aware regression	-
HypLiLoc	6.00	HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion

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Visual Localization On Oxford Radar Robotcar | SOTA | HyperAI