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 111–120 of 408 papers

TitleStatusHype
MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization—0
An Attention-Based Deep Learning Architecture for Real-Time Monocular Visual Odometry: Applications to GPS-free Drone Navigation—0
SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints—0
Salient Sparse Visual Odometry With Pose-Only Supervision—0
A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
The POLAR Traverse Dataset: A Dataset of Stereo Camera Images Simulating Traverses across Lunar Polar Terrain under Extreme Lighting Conditions—0
Efficient Domain Adaptation for Endoscopic Visual Odometry—0
Secure Navigation using Landmark-based Localization in a GPS-denied Environment—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
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Benchmark Results

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