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

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Showing 201–210 of 408 papers

TitleStatusHype
Robust Edge-Direct Visual Odometry based on CNN edge detection and Shi-Tomasi corner optimization—0
Robust Monocular Visual Odometry using Curriculum Learning—0
Robust Real-time RGB-D Visual Odometry in Dynamic Environments via Rigid Motion Model—0
Robust RGB-D Odometry Using Point and Line Features—0
Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association—0
Robust Stereo Feature Descriptor for Visual Odometry—0
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment—0
RoMeO: Robust Metric Visual Odometry—0
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment—0
Salient Sparse Visual Odometry With Pose-Only Supervision—0
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Benchmark Results

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