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

153
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...
153
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

85
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
85
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

80
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
80
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

99
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
99
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

787
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
787

You might also read

Related Articles

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

Sort by
Same author

Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning.

Scientific reports·2025
Same author

Pedestrian Flow Identification and Occupancy Prediction for Indoor Areas.

Sensors (Basel, Switzerland)·2023
Same author

Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation.

JMIR medical informatics·2020
Same author

Dynamic Vertical Mapping with Crowdsourced Smartphone Sensor Data.

Sensors (Basel, Switzerland)·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Aug 8, 2025

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.9K

Pedestrian Augmented Reality Navigator.

Tanmaya Mahapatra1, Nikolaos Tsiamitros2, Anton Moritz Rohr3

  • 1Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani 333031, India.

Sensors (Basel, Switzerland)
|February 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces the Pedestrian Augmented Reality Navigator (PAReNt) app, enhancing outdoor and indoor navigation accuracy by fusing Global Navigation Satellite System (GNSS) and Bluetooth data with Augmented Reality (AR) motion tracking.

Keywords:
ARKitGlobal Navigation Satellite SystemsKalman filteraugmented realityaugmented reality navigatorbeaconsdata fusiontrilateration

More Related Videos

Augmented Reality Navigation-Guided Core Decompression for Osteonecrosis of Femoral Head
06:17

Augmented Reality Navigation-Guided Core Decompression for Osteonecrosis of Femoral Head

Published on: April 12, 2022

3.8K
Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.2K

Related Experiment Videos

Last Updated: Aug 8, 2025

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.9K
Augmented Reality Navigation-Guided Core Decompression for Osteonecrosis of Femoral Head
06:17

Augmented Reality Navigation-Guided Core Decompression for Osteonecrosis of Femoral Head

Published on: April 12, 2022

3.8K
Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model
06:18

Pedicle Screw Placement Using an Augmented Reality Head-Mounted Display in a Porcine Model

Published on: May 24, 2024

2.2K

Area of Science:

  • Computer Science
  • Robotics
  • Geomatics Engineering

Background:

  • Augmented Reality (AR) navigation holds significant potential but is hindered by bulky hardware and limited global positional awareness in smartphones.
  • Current mobile AR frameworks like ARKit and ARCore excel in confined spaces but struggle with accurate global positioning due to Global Navigation Satellite System (GNSS) limitations, especially indoors.

Purpose of the Study:

  • To develop and evaluate the Pedestrian Augmented Reality Navigator (PAReNt) iOS app for improved pedestrian navigation accuracy.
  • To implement and compare data fusion techniques using Kalman Filters (KF) to integrate AR motion data, GNSS, and Bluetooth indoor positioning.

Main Methods:

  • Developed the PAReNt iOS app integrating Apple's ARKit with GNSS and a Bluetooth indoor positioning system.
  • Implemented and evaluated four different Kalman Filter (KF) models for sensor data fusion.
  • Conducted controlled experiments to compare the fused data accuracy against ground truth using two distinct testing methodologies.

Main Results:

  • The data fusion approach significantly improved positioning accuracy compared to raw sensor data.
  • Accuracy gains of 57% were achieved when fusing GPS and AR data.
  • An improvement of 32% was observed when fusing Bluetooth and AR data.

Conclusions:

  • The PAReNt app demonstrates a viable solution for enhancing pedestrian navigation accuracy through sensor data fusion.
  • The study validates the effectiveness of Kalman Filters in integrating diverse positioning data for AR applications.
  • This approach offers a pathway to more reliable and accurate AR-based navigation systems for mass-market adoption.