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 361–370 of 408 papers

TitleStatusHype
GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion—0
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots—0
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion—0
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation—0
Momo: Monocular Motion Estimation on Manifolds—0
Dense Piecewise Planar RGB-D SLAM for Indoor Environments—0
Monocular Visual Odometry for an Unmanned Sea-Surface Vehicle—0
Fast Multi-frame Stereo Scene Flow with Motion Segmentation—0
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments—0
Topometric Localization with Deep Learning—0
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Benchmark Results

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