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
Large Scale Photometric Bundle Adjustment—0
Learned Camera Gain and Exposure Control for Improved Visual Feature Detection and Matching—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments—0
Jointly Optimized Global-Local Visual Localization of UAVs—0
Direct Sparse Odometry with Rolling Shutter—0
Bi-objective Optimization for Robust RGB-D Visual Odometry—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
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation—0
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Benchmark Results

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