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

Showing 201250 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 Matching0
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry0
Bi-objective Optimization for Robust RGB-D Visual Odometry0
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane0
Canny-VO: Visual Odometry with RGB-D Cameras based on Geometric 3D-2D Edge Alignment0
CFORB: Circular FREAK-ORB Visual Odometry0
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect0
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings0
CodedVO: Coded Visual Odometry0
Computing Similarity Transformations From Only Image Correspondences0
Conformalized Multimodal Uncertainty Regression and Reasoning0
Continuous-Time Visual-Inertial Odometry for Event Cameras0
Creating a Segmented Pointcloud of Grapevines by Combining Multiple Viewpoints Through Visual Odometry0
cuVSLAM: CUDA accelerated visual odometry and mapping0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry0
Deep Direct Visual Odometry0
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots0
Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks0
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry0
Deep Learning for Visual Localization and Mapping: A Survey0
Deep Monocular Visual Odometry for Ground Vehicle0
Deep Online Correction for Monocular Visual Odometry0
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network0
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry0
Deep Visual Odometry Methods for Mobile Robots0
DeepVO: A Deep Learning approach for Monocular Visual Odometry0
Dense Piecewise Planar RGB-D SLAM for Indoor Environments0
Dense Visual Odometry Using Genetic Algorithm0
Depth Completion using Piecewise Planar Model0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions0
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model0
Direct Monocular Odometry Using Points and Lines0
Direct Sparse Odometry with Rolling Shutter0
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment0
Direct Visual-Inertial Odometry with Semi-Dense Mapping0
Discovering Multiple Algorithm Configurations0
Distilling Knowledge From a Deep Pose Regressor Network0
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks0
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images0
Smooth Mesh Estimation from Depth Data using Non-Smooth Convex Optimization0
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications0
Sparse2Dense: From direct sparse odometry to dense 3D reconstruction0
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion0
SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints0
Stereo-based Multi-motion Visual Odometry for Mobile Robots0
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Benchmark Results

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