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 271–280 of 408 papers

TitleStatusHype
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding SensingCode0
Learning Residual Flow as Dynamic Motion from Stereo Videos—0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination—0
Improving Visual Feature Extraction in Glacial Environments—0
Multi-Spectral Visual Odometry without Explicit Stereo Matching—0
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry—0
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications—0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
Enhancing self-supervised monocular depth estimation with traditional visual odometry—0
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Benchmark Results

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