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 201–250 of 408 papers

TitleStatusHype
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry—0
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
Depth Completion using Piecewise Planar Model—0
Exploring Self-Attention for Visual Odometry—0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation—0
TartanVO: A Generalizable Learning-based VOCode1
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments—0
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories—0
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure—0
Deep Monocular Visual Odometry for Ground Vehicle—0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
Moving object detection for visual odometry in a dynamic environment based on occlusion accumulation—0
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving—0
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents—0
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas—0
Large Scale Photometric Bundle Adjustment—0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi—0
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching—0
Event-based Stereo Visual OdometryCode1
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector—0
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods—0
Robust Ego and Object 6-DoF Motion Estimation and TrackingCode1
WGANVO: Monocular Visual Odometry based on Generative Adversarial NetworksCode0
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling—0
UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models—0
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems—0
EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearnerCode1
Robot Perception enables Complex Navigation Behavior via Self-Supervised LearningCode1
Information-Driven Direct RGB-D Odometry—0
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with UncertaintyCode1
Self-Supervised Deep Visual Odometry with Online Adaptation—0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetCode1
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems—0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry—0
Nonparametric Continuous Sensor RegistrationCode1
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map—0
Neural Outlier Rejection for Self-Supervised Keypoint LearningCode0
Joint Forward-Backward Visual Odometry for Stereo Cameras—0
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization—0
Training Deep SLAM on Single Frames—0
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Benchmark Results

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