SOTAVerified

Visual Odometry

Visual Odometry is an important area of information fusion in which the central aim is to estimate the pose of a robot using data collected by visual sensors.

Source: Bi-objective Optimization for Robust RGB-D Visual Odometry

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 221–230 of 408 papers

TitleStatusHype
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry—0
Deep Learning for Visual Localization and Mapping: A Survey—0
Deep Monocular Visual Odometry for Ground Vehicle—0
Deep Online Correction for Monocular Visual Odometry—0
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network—0
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination—0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
Deep Visual Odometry Methods for Mobile Robots—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Dense Piecewise Planar RGB-D SLAM for Indoor Environments—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CIVORelative Position Error Translation [cm]1.36—Unverified