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 101–150 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
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes—0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
Computing Similarity Transformations From Only Image Correspondences—0
A Novel Georeferenced Dataset for Stereo Visual Odometry—0
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
Efficient Domain Adaptation for Endoscopic Visual Odometry—0
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs—0
Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM—0
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents—0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
Enhancing self-supervised monocular depth estimation with traditional visual odometry—0
Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences—0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration—0
Distilling Knowledge From a Deep Pose Regressor Network—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
Evaluation of the visual odometry methods for semi-dense real-time—0
Event-aided Direct Sparse Odometry—0
Discovering Multiple Algorithm Configurations—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
Event-based Stereo Visual Odometry with Native Temporal Resolution via Continuous-time Gaussian Process Regression—0
Improving Monocular Visual Odometry Using Learned Depth—0
Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Direct Sparse Odometry with Rolling Shutter—0
Bi-objective Optimization for Robust RGB-D Visual Odometry—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Improving Visual Feature Extraction in Glacial Environments—0
Direct Monocular Odometry Using Points and Lines—0
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model—0
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry—0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
A Minimal Solution to the Generalized Pose-and-Scale Problem—0
Depth Completion using Piecewise Planar Model—0
Dense Visual Odometry Using Genetic Algorithm—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
Dense Piecewise Planar RGB-D SLAM for Indoor Environments—0
Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)—0
A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments—0
BALF: Simple and Efficient Blur Aware Local Feature Detector—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry—0
Deep Visual Odometry Methods for Mobile Robots—0
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Benchmark Results

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