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
MotionHint: Self-Supervised Monocular Visual Odometry with Motion ConstraintsCode1
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired peopleCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
Visual Odometry Revisited: What Should Be Learnt?Code1
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and LocalizationCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
iMatching: Imperative Correspondence LearningCode1
Deep Event Visual OdometryCode1
Converting Depth Images and Point Clouds for Feature-based Pose EstimationCode1
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Benchmark Results

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