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 301–310 of 408 papers

TitleStatusHype
A Novel Georeferenced Dataset for Stereo Visual Odometry—0
A Photometrically Calibrated Benchmark For Monocular Visual Odometry—0
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas—0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
A Robust Pavement Mapping System Based on Normal-Constrained Stereo Visual Odometry—0
A Synchronized Stereo and Plenoptic Visual Odometry Dataset—0
Asynchronous Optimisation for Event-based Visual Odometry—0
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation—0
A Unified Formulation for Visual Odometry—0
BALF: Simple and Efficient Blur Aware Local Feature Detector—0
Show:102550
← PrevPage 31 of 41Next →

Benchmark Results

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