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 391–400 of 408 papers

TitleStatusHype
Deep Auxiliary Learning for Visual Localization and OdometryCode0
Real-Time Panoramic Tracking for Event CamerasCode0
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry AccuracyCode0
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and DepthCode0
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding SensingCode0
Reducing Drift in Visual Odometry by Inferring Sun Direction Using a Bayesian Convolutional Neural NetworkCode0
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlueCode0
A Generative Map for Image-based Camera LocalizationCode0
Adaptive Continuous Visual Odometry from RGB-D ImagesCode0
Fast Cylinder and Plane Extraction from Depth Cameras for Visual OdometryCode0
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Benchmark Results

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