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 311–320 of 408 papers

TitleStatusHype
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry—0
Self-Improving Visual Odometry—0
Network Uncertainty Informed Semantic Feature Selection for Visual SLAMCode0
MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network—0
Guided Feature Selection for Deep Visual Odometry—0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
Geometric-based Line Segment Tracking for HDR Stereo Sequences—0
DSVO: Direct Stereo Visual Odometry—0
The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System—0
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks—0
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Benchmark Results

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