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 401–408 of 408 papers

TitleStatusHype
Computing Similarity Transformations From Only Image Correspondences—0
Learning to See by Moving—0
Bi-objective Optimization for Robust RGB-D Visual Odometry—0
Motion Estimation via Robust Decomposition with Constrained Rank—0
A Minimal Solution to the Generalized Pose-and-Scale Problem—0
Visual Tracking using Particle Swarm Optimization—0
A Novel Georeferenced Dataset for Stereo Visual Odometry—0
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization—0
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Benchmark Results

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