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 121–130 of 408 papers

TitleStatusHype
Distilling Knowledge From a Deep Pose Regressor Network—0
Evaluation of the visual odometry methods for semi-dense real-time—0
Event-aided Direct Sparse Odometry—0
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
Discovering Multiple Algorithm Configurations—0
Event-based Stereo Visual Odometry with Native Temporal Resolution via Continuous-time Gaussian Process Regression—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
FDMO: Feature Assisted Direct Monocular Odometry—0
Feature-based Event Stereo Visual Odometry—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
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Benchmark Results

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