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 211–220 of 408 papers

TitleStatusHype
Computing Similarity Transformations From Only Image Correspondences—0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
Continuous-Time Visual-Inertial Odometry for Event Cameras—0
Creating a Segmented Pointcloud of Grapevines by Combining Multiple Viewpoints Through Visual Odometry—0
cuVSLAM: CUDA accelerated visual odometry and mapping—0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry—0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
Deep Direct Visual Odometry—0
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots—0
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks—0
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Benchmark Results

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