Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

453
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
453

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Edge-Centric Embeddings of Digraphs: Properties and Stability Under Sparsification.

Entropy (Basel, Switzerland)·2025
Same author

What is beautiful is still good: the attractiveness halo effect in the era of beauty filters.

Royal Society open science·2024
Same author

Node classification in the heterophilic regime via diffusion-jump GNNs.

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Predicting COVID-19 pandemic waves including vaccination data with deep learning.

Frontiers in public health·2024
Same author

Feeding Ecology of the Cuvier's Gazelle (<i>Gazella cuvieri</i>, Ogilby, 1841) in the Sahara Desert.

Animals : an open access journal from MDPI·2023
Same author

Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor.

Entropy (Basel, Switzerland)·2020

Related Experiment Video

Updated: Apr 30, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

5.2K

Aerial obstacle detection with 3-D mobile devices.

Juan Manuel Sáez, Francisco Escolano, Miguel Angel Lozano

    IEEE Journal of Biomedical and Health Informatics
    |May 13, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new smartphone-based system for aerial obstacle detection, aiding visually impaired (VI) individuals. The technology uses stereo vision and device sensors for real-time 3D measurements to enhance navigation safety.

    More Related Videos

    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
    08:16

    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

    Published on: October 24, 2025

    917
    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    857

    Related Experiment Videos

    Last Updated: Apr 30, 2026

    Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
    06:00

    Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

    Published on: August 27, 2021

    5.2K
    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
    08:16

    Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

    Published on: October 24, 2025

    917
    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    857

    Area of Science:

    • Computer Vision
    • Assistive Technology
    • Robotics

    Background:

    • Aerial obstacles like branches and awnings pose significant navigation challenges for visually impaired (VI) individuals.
    • Existing assistive devices such as walking sticks and guide dogs are ineffective for detecting these overhead hazards.

    Purpose of the Study:

    • To develop and evaluate a novel aerial obstacle detection system for VI people assistance.
    • To leverage smartphone 3D sensing capabilities for real-time environmental perception.

    Main Methods:

    • Utilized stereo vision on a 3D smartphone to capture scene depth information.
    • Integrated smartphone orientation sensors (magnetometer, accelerometer) to predict user's walking direction.
    • Developed algorithms for real-time 3D data compression, linearization, and obstacle detection.
    • Implemented a tracking mechanism to confirm obstacles before alerting the user.

    Main Results:

    • Demonstrated the first real-time 3D measurement capability using smartphones for obstacle detection.
    • Successfully detected aerial obstacles in various real-world scenarios.
    • Validated the system's performance with visually impaired users.

    Conclusions:

    • The proposed smartphone-based system offers a promising solution for detecting challenging aerial obstacles.
    • This technology can significantly enhance the mobility and safety of visually impaired individuals.