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 21–30 of 408 papers

TitleStatusHype
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping with Sweep ReconstructionCode2
iMatching: Imperative Correspondence LearningCode1
Instant Visual Odometry Initialization for Mobile ARCode1
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
Event-based Stereo Visual OdometryCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan EstimationCode1
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Benchmark Results

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