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 41–50 of 408 papers

TitleStatusHype
ES-PTAM: Event-based Stereo Parallel Tracking and MappingCode1
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual OdometryCode7
Deep Patch Visual SLAMCode4
CodedVO: Coded Visual Odometry—0
Reinforcement Learning Meets Visual OdometryCode3
Semi-Supervised Pipe Video Temporal Defect Interval Localization—0
Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrainCode0
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Self-supervised Pretraining and Finetuning for Monocular Depth and Visual Odometry—0
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Benchmark Results

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