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 226–250 of 408 papers

TitleStatusHype
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