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 21–30 of 408 papers

TitleStatusHype
Multi-Session SLAM with Differentiable Wide-Baseline Pose OptimizationCode2
SiLK -- Simple Learned KeypointsCode2
iMatching: Imperative Correspondence LearningCode1
Instant Visual Odometry Initialization for Mobile ARCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Deep Event Visual OdometryCode1
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Benchmark Results

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