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 231–240 of 408 papers

TitleStatusHype
Dense Visual Odometry Using Genetic Algorithm—0
Depth Completion using Piecewise Planar Model—0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model—0
Direct Monocular Odometry Using Points and Lines—0
Direct Sparse Odometry with Rolling Shutter—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Discovering Multiple Algorithm Configurations—0
Distilling Knowledge From a Deep Pose Regressor Network—0
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Benchmark Results

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