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 31–40 of 408 papers

TitleStatusHype
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired peopleCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
Visual Odometry Revisited: What Should Be Learnt?Code1
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and LocalizationCode1
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
Deep Visual Odometry with Events and FramesCode1
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAMCode1
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
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Benchmark Results

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