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 101–110 of 408 papers

TitleStatusHype
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry—0
Dynamic Objects Segmentation for Visual Localization in Urban Environments—0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
Computing Similarity Transformations From Only Image Correspondences—0
A Novel Georeferenced Dataset for Stereo Visual Odometry—0
Evolution of Visual Odometry Techniques—0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
Show:102550
← PrevPage 11 of 41Next →

Benchmark Results

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