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

Showing 5175 of 408 papers

TitleStatusHype
Spatiotemporal Registration for Event-based Visual OdometryCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
Online Photometric Calibration of Automatic Gain Thermal Infrared CamerasCode1
TartanVO: A Generalizable Learning-based VOCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
Event-based Stereo Visual OdometryCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
Robust Ego and Object 6-DoF Motion Estimation and TrackingCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
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
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with UncertaintyCode1
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetCode1
Nonparametric Continuous Sensor RegistrationCode1
Visual Odometry Revisited: What Should Be Learnt?Code1
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching VideosCode1
The TUM VI Benchmark for Evaluating Visual-Inertial OdometryCode1
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D CamerasCode1
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model0
UFM: A Simple Path towards Unified Dense Correspondence with Flow0
ZeroVO: Visual Odometry with Minimal Assumptions0
cuVSLAM: CUDA accelerated visual odometry and mapping0
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks0
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Benchmark Results

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