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 381–390 of 408 papers

TitleStatusHype
Semi-Dense Visual Odometry for RGB-D Cameras Using Approximate Nearest Neighbour Fields—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras—0
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAMCode0
mdBrief - A Fast Online Adaptable, Distorted Binary Descriptor for Real-Time Applications Using Calibrated Wide-Angle Or Fisheye Cameras—0
Swipe Mosaics from Video—0
Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural NetworkCode0
Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation—0
Multi-Model Hypothesize-and-Verify Approach for Incremental Loop Closure Verification—0
gvnn: Neural Network Library for Geometric Computer VisionCode0
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Benchmark Results

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