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 151–160 of 408 papers

TitleStatusHype
Lightweight, Uncertainty-Aware Conformalized Visual Odometry—0
LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation—0
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity—0
SiLK: Simple Learned Keypoints—0
4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions—0
A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion—0
BALF: Simple and Efficient Blur Aware Local Feature Detector—0
Vision-based localization methods under GPS-denied conditions—0
Expansion of Visual Hints for Improved Generalization in Stereo Matching—0
A geometry method for LED mapping—0
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Benchmark Results

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