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

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Showing 51–60 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
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Benchmark Results

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