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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 161–170 of 408 papers

TitleStatusHype
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method—0
Improving Visual Feature Extraction in Glacial Environments—0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion—0
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization—0
Depth Completion using Piecewise Planar Model—0
Global Pose Estimation with an Attention-based Recurrent Network—0
Information-Driven Direct RGB-D Odometry—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination—0
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Benchmark Results

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