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 281–290 of 408 papers

TitleStatusHype
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras—0
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment—0
ViLiVO: Virtual LiDAR-Visual Odometry for an Autonomous Vehicle with a Multi-Camera System—0
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization—0
Virtual Inverse Perspective Mapping for Simultaneous Pose and Motion Estimation—0
Virtual Testbed for Monocular Visual Navigation of Small Unmanned Aircraft Systems—0
Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction—0
Vision-based Geo-Localization of Future Mars Rotorcraft in Challenging Illumination Conditions—0
Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications—0
Vision-based localization methods under GPS-denied conditions—0
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Benchmark Results

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