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 181–190 of 408 papers

TitleStatusHype
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination—0
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
Learning a Depth Covariance Function—0
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments—0
Learning by Inertia: Self-supervised Monocular Visual Odometry for Road Vehicles—0
Discovering Multiple Algorithm Configurations—0
Learning Monocular Visual Odometry through Geometry-Aware Curriculum Learning—0
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling—0
Learning monocular visual odometry with dense 3D mapping from dense 3D flow—0
Geometric Consistency for Self-Supervised End-to-End Visual Odometry—0
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Benchmark Results

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