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 141–150 of 408 papers

TitleStatusHype
Depth Completion using Piecewise Planar Model—0
Dense Visual Odometry Using Genetic Algorithm—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
Dense Piecewise Planar RGB-D SLAM for Indoor Environments—0
Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)—0
A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments—0
BALF: Simple and Efficient Blur Aware Local Feature Detector—0
DeepVO: A Deep Learning approach for Monocular Visual Odometry—0
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry—0
Deep Visual Odometry Methods for Mobile Robots—0
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Benchmark Results

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