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
Discovering Multiple Algorithm Configurations—0
An Accurate and Real-time Relative Pose Estimation from Triple Point-line Images by Decoupling Rotation and Translation—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Large-scale visual SLAM for in-the-wild videos—0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment—0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Large Scale Photometric Bundle Adjustment—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
Jointly Optimized Global-Local Visual Localization of UAVs—0
Direct Sparse Odometry with Rolling Shutter—0
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Benchmark Results

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