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 351–400 of 408 papers

TitleStatusHype
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural NetworksCode0
Playing for Benchmarks—0
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning—0
LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation—0
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination ChangeCode0
Robust Stereo Feature Descriptor for Visual Odometry—0
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras—0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms—0
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots—0
GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion—0
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots—0
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion—0
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation—0
Momo: Monocular Motion Estimation on Manifolds—0
Dense Piecewise Planar RGB-D SLAM for Indoor Environments—0
Monocular Visual Odometry for an Unmanned Sea-Surface Vehicle—0
Fast Multi-frame Stereo Scene Flow with Motion Segmentation—0
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments—0
Topometric Localization with Deep Learning—0
Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth UncertaintyCode0
Towards Visual Ego-motion Learning in Robots—0
PL-SLAM: a Stereo SLAM System through the Combination of Points and Line SegmentsCode0
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry—0
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
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D CamerasCode1
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
A Photometrically Calibrated Benchmark For Monocular Visual Odometry—0
Direct Sparse OdometryCode0
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
Robust RGB-D Odometry Using Point and Line Features—0
Realtime Edge-Based Visual Odometry for a Monocular Camera—0
CFORB: Circular FREAK-ORB Visual Odometry—0
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Benchmark Results

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