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 391–400 of 408 papers

TitleStatusHype
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry—0
GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion—0
Guided Feature Selection for Deep Visual Odometry—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Improving Monocular Visual Odometry Using Learned Depth—0
Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation—0
Improving Visual Feature Extraction in Glacial Environments—0
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization—0
Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM—0
Information-Driven Direct RGB-D Odometry—0
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Benchmark Results

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