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 171–180 of 408 papers

TitleStatusHype
LOF: Structure-Aware Line Tracking based on Optical Flow—0
MotionHint: Self-Supervised Monocular Visual Odometry with Motion ConstraintsCode1
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary MissionsCode1
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry AccuracyCode0
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation—0
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization—0
Instant Visual Odometry Initialization for Mobile ARCode1
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks—0
Feature-based Event Stereo Visual Odometry—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—0
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Benchmark Results

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