Results 11 to 20 of about 23,972 (233)

INDOOR POSITIONING BY VISUAL-INERTIAL ODOMETRY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Indoor positioning is a fundamental requirement of many indoor location-based services and applications. In this paper, we explore the potential of low-cost and widely available visual and inertial sensors for indoor positioning.
M. Ramezani   +3 more
doaj   +3 more sources

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

open access: yesIEEE Robotics and Automation Letters, 2018
In recent years, vision-aided inertial odometry for state estimation has matured significantly. However, we still encounter challenges in terms of improving the computational efficiency and robustness of the underlying algorithms for applications in ...
Ke Sun, Kartik Mohta, Bernd Pfrommer
exaly   +3 more sources

VINS-MKF: A Tightly-Coupled Multi-Keyframe Visual-Inertial Odometry for Accurate and Robust State Estimation [PDF]

open access: yesSensors, 2018
State estimation is crucial for robot autonomy, visual odometry (VO) has received significant attention in the robotics field because it can provide accurate state estimation.
Chaofan Zhang   +4 more
doaj   +2 more sources

Uncertainty-Aware Depth Network for Visual Inertial Odometry of Mobile Robots. [PDF]

open access: yesSensors (Basel)
Simultaneous localization and mapping, a critical technology for enabling the autonomous driving of vehicles and mobile robots, increasingly incorporates multi-sensor configurations.
Song J, Jo H, Jin Y, Lee SJ.
europepmc   +2 more sources

RGB-Based Visual–Inertial Odometry via Knowledge Distillation from Self-Supervised Depth Estimation with Foundation Models [PDF]

open access: yesSensors
Autonomous driving represents a transformative advancement with the potential to significantly impact daily mobility, including enabling independent vehicle operation for individuals with visual disabilities.
Jimin Song, Sang Jun Lee
doaj   +2 more sources

Mix-VIO: A Visual Inertial Odometry Based on a Hybrid Tracking Strategy. [PDF]

open access: yesSensors (Basel)
In this paper, we proposed Mix-VIO, a monocular and binocular visual-inertial odometry, to address the issue where conventional visual front-end tracking often fails under dynamic lighting and image blur conditions.
Yuan H, Han K, Lou B.
europepmc   +2 more sources

A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow

open access: yesIEEE Journal of Indoor and Seamless Positioning and Navigation
Visual–inertial odometry (VIO), the fusion of visual and inertial sensor data, has been shown to be functional for navigation in global-navigation-satellite-system-denied environments.
Ilari Pajula   +4 more
doaj   +2 more sources

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping [PDF]

open access: yesIEEE International Conference on Robotics and Automation, 2021
We propose a framework for tightly-coupled lidar-visual-inertial odometry via smoothing and mapping, LVI-SAM, that achieves real-time state estimation and map-building with high accuracy and robustness.
Tixiao Shan   +3 more
semanticscholar   +1 more source

Robocentric Visual-Inertial Odometry [PDF]

open access: yes2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
In this paper, we propose a novel robocentric formulation of the visual-inertial navigation system (VINS) within a sliding-window filtering framework and design an efficient, lightweight, robocentric visual-inertial odometry (R-VIO) algorithm for consistent motion tracking even in challenging environments using only a monocular camera and a 6-axis IMU.
Huai, Zheng, Huang, Guoquan
openaire   +4 more sources

Visual–Inertial Odometry of Structured and Unstructured Lines Based on Vanishing Points in Indoor Environments

open access: yesApplied Sciences
In conventional point-line visual–inertial odometry systems in indoor environments, consideration of spatial position recovery and line feature classification can improve localization accuracy. In this paper, a monocular visual–inertial odometry based on
Xiaojing He   +3 more
doaj   +2 more sources

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