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 376–400 of 408 papers

TitleStatusHype
Exploring Self-Attention for Visual Odometry—0
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots—0
Fast Multi-frame Stereo Scene Flow with Motion Segmentation—0
FDMO: Feature Assisted Direct Monocular Odometry—0
Feature-based Event Stereo Visual Odometry—0
FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras—0
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving—0
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
Geometric-based Line Segment Tracking for HDR Stereo Sequences—0
Geometric Consistency for Self-Supervised End-to-End Visual Odometry—0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes—0
Global Pose Estimation with an Attention-based Recurrent Network—0
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method—0
Gradient-based Camera Exposure Control for Outdoor Mobile Platforms—0
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry—0
GSLAM: Initialization-robust Monocular Visual SLAM via Global Structure-from-Motion—0
Guided Feature Selection for Deep Visual Odometry—0
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy—0
Improving Monocular Visual Odometry Using Learned Depth—0
Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation—0
Improving Visual Feature Extraction in Glacial Environments—0
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization—0
Inertial Guided Uncertainty Estimation of Feature Correspondence in Visual-Inertial Odometry/SLAM—0
Information-Driven Direct RGB-D Odometry—0
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Benchmark Results

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