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
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
Deep Visual Odometry with Events and FramesCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
Converting Depth Images and Point Clouds for Feature-based Pose EstimationCode1
Robust Ego and Object 6-DoF Motion Estimation and TrackingCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with UncertaintyCode1
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Benchmark Results

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