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 376–400 of 408 papers

TitleStatusHype
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect—0
Monocular Visual Odometry with a Rolling Shutter Camera—0
Direct Monocular Odometry Using Points and Lines—0
Real-Time Panoramic Tracking for Event CamerasCode0
Continuous-Time Visual-Inertial Odometry for Event Cameras—0
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
Direct Sparse OdometryCode0
A Photometrically Calibrated Benchmark For Monocular Visual Odometry—0
Noise Models in Feature-based Stereo Visual Odometry—0
Theory and Practice of Structure-From-Motion Using Affine Correspondences—0
Backprop KF: Learning Discriminative Deterministic State EstimatorsCode0
Direct Visual Odometry using Bit-PlanesCode0
Multi-modal Tracking for Object based SLAM—0
Realtime Edge-Based Visual Odometry for a Monocular Camera—0
Robust RGB-D Odometry Using Point and Line Features—0
CFORB: Circular FREAK-ORB Visual Odometry—0
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Benchmark Results

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