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 331–340 of 408 papers

TitleStatusHype
Dynamic Objects Segmentation for Visual Localization in Urban Environments—0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
Real-time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments—0
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability LearningCode0
Evolution of Visual Odometry Techniques—0
FDMO: Feature Assisted Direct Monocular Odometry—0
Geometric Consistency for Self-Supervised End-to-End Visual Odometry—0
Evaluation of the visual odometry methods for semi-dense real-time—0
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature ReconstructionCode0
Deep Auxiliary Learning for Visual Localization and OdometryCode0
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Benchmark Results

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