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
PVO: Panoptic Visual OdometryCode2
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAMCode1
Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement LearningCode1
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment LayersCode1
Event-Based Visual Odometry on Non-Holonomic Ground VehiclesCode1
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired peopleCode1
Deep Event Visual OdometryCode1
iMatching: Imperative Correspondence LearningCode1
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Benchmark Results

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