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

Response Surface Methodology01:16

Response Surface Methodology

214
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
214
Errors in Global Positioning System01:26

Errors in Global Positioning System

89
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
89
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

155
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...
155
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

105
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...
105
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

89
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
89
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

92
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...
92

You might also read

Related Articles

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

Sort by
Same author

Novel artificial intelligence-enabled deep learning system to enhance adenoma detection: a prospective randomized controlled study.

iGIE : innovation, investigation and insights·2026
Same author

Computer-aided polyp detection multicenter international randomized controlled study with a focus on community clinics: Geriatric Assessment-Driven Intervention clinical trial.

Gastrointestinal endoscopy·2026
Same author

Autofluorescence Virtual Staining System for H&E Histology and Multiplex Immunofluorescence Applied to Immuno-Oncology Biomarkers in Lung Cancer.

Cancer research communications·2024
Same author

HIPI: Spatially resolved multiplexed protein expression inferred from H&E WSIs.

PLoS computational biology·2024
Same author

Principal Uncertainty Quantification With Spatial Correlation for Image Restoration Problems.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy.

Surgical endoscopy·2022
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 16, 2025

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

486

Finding a Landing Site in an Urban Area: A Multi-Resolution Probabilistic Approach.

Barak Pinkovich1, Boaz Matalon2, Ehud Rivlin1

  • 1The Faculty of Computer Science, Technion Israel Institute of Technology, Haifa 3200003, Israel.

Sensors (Basel, Switzerland)
|December 23, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a multi-resolution drone landing strategy for urban areas. By collecting data at decreasing altitudes, it achieves high-resolution imaging for safe and efficient drone landings.

Keywords:
perceptionsearch theorysemantic segmentationunmanned aerial vehicles

More Related Videos

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K
Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

2.7K

Related Experiment Videos

Last Updated: Aug 16, 2025

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
07:48

Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

Published on: April 4, 2025

486
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.6K
Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night
06:19

Low-Cost Automated Flight Intercept Trap for the Temporal Sub-Sampling of Flying Insects Attracted to Artificial Light at Night

Published on: December 29, 2021

2.7K

Area of Science:

  • Robotics
  • Computer Vision
  • Autonomous Systems

Background:

  • Urban environments pose challenges for drone navigation due to complex obstacles.
  • Balancing rapid exploration with high-resolution imaging is crucial for safe drone operations.

Purpose of the Study:

  • To develop a robust method for identifying suitable drone landing spots in dense urban settings.
  • To address the trade-off between exploration speed and image resolution in drone-based site assessment.

Main Methods:

  • A multi-resolution approach collecting visual data at decreasing altitudes to progressively increase image resolution.
  • Utilizing probability distributions to model and update decision-making uncertainty for terrain patches.
  • Employing a semantic segmentation algorithm to assign pixel-level probabilities for image analysis.
  • Integrating probabilistic outputs with prior data and measurements for enhanced decision-making.

Main Results:

  • Demonstrated feasibility of the multi-resolution approach through simulations.
  • Successfully identified suitable landing spots by updating confidence levels based on collected data.
  • The semantic segmentation algorithm provided crucial pixel-level probability data.

Conclusions:

  • The proposed multi-resolution strategy effectively balances exploration speed and resolution for drone landing site selection in urban areas.
  • Probabilistic modeling enhances decision-making robustness by managing uncertainty.
  • The method shows promise for autonomous drone operations in complex environments.