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 81–90 of 408 papers

TitleStatusHype
Adaptive Continuous Visual Odometry from RGB-D ImagesCode0
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open WorldCode0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMUCode0
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and DepthCode0
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement ModuleCode0
Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems ApproachCode0
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual OdometryCode0
Direct Sparse OdometryCode0
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Benchmark Results

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