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 51–60 of 408 papers

TitleStatusHype
Modality-invariant Visual Odometry for Embodied VisionCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
Robust Ego and Object 6-DoF Motion Estimation and TrackingCode1
MotionHint: Self-Supervised Monocular Visual Odometry with Motion ConstraintsCode1
iMatching: Imperative Correspondence LearningCode1
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAMCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
Deep Event Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Show:102550
← PrevPage 6 of 41Next →

Benchmark Results

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