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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 408 papers

TitleStatusHype
Benchmarking Pedestrian Odometry: The Brown Pedestrian Odometry Dataset (BPOD)—0
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching—0
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry—0
Bi-objective Optimization for Robust RGB-D Visual Odometry—0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane—0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment—0
CFORB: Circular FREAK-ORB Visual Odometry—0
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect—0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings—0
CodedVO: Coded Visual Odometry—0
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
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry—0
Deep Learning for Visual Localization and Mapping: A Survey—0
Deep Monocular Visual Odometry for Ground Vehicle—0
Deep Online Correction for Monocular Visual Odometry—0
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network—0
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Benchmark Results

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