Jove
Visualize
Contact Us

Related Concept Videos

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

122
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...
122
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

171
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...
171
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

92
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...
92
Errors in Global Positioning System01:26

Errors in Global Positioning System

115
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,...
115
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

128
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
128
Impact: Problem Solving01:26

Impact: Problem Solving

261
In an experiment conducted during a Mars mission, a rover propels a projectile with an initial velocity, and the projectile rebounds after colliding with the Martian surface. To ascertain the maximum height attained by the projectile after this collision, the known restitution coefficient and acceleration due to gravity are employed.
By designating the launch point as the origin and utilizing kinematic equations, the vertical component of the projectile's velocity at the point of impact is...
261

You might also read

Related Articles

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

Sort by
Same author

Employing variance component estimation for point cloud based geometric surface representation by B-splines.

Journal of applied geodesy·2025
Same author

Multispectral Light Detection and Ranging Technology and Applications: A Review.

Sensors (Basel, Switzerland)·2024
See all related articles
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 Experiment Video

Updated: Sep 16, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.1K

A Review on UAS Trajectory Estimation Using Decentralized Multi-Sensor Systems Based on Robotic Total Stations.

Lucas Dammert1, Tomas Thalmann1, David Monetti2

  • 1Research Units Engineering Geodesy and Photogrammetry, Department Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
Summary
This summary is machine-generated.

This review explores using robotic total stations (RTS) for precise trajectory estimation in unmanned aerial systems (UAS). Combining RTS with onboard sensors enables sub-centimeter accuracy, crucial for GNSS-denied environments.

Keywords:
6-DoF trajectory estimationUAVimage-assisted total stationsensor synchronization

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

13.7K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K

Related Experiment Videos

Last Updated: Sep 16, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

8.1K
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

13.7K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.6K

Area of Science:

  • Robotics
  • Geomatics Engineering
  • Aerospace Engineering

Background:

  • Robotic Total Stations (RTS) are vital for precise trajectory estimation where Global Navigation Satellite Systems (GNSS) are unreliable.
  • Unmanned Aerial Systems (UAS) trajectory estimation often relies on GNSS, but alternative methods are needed for accuracy and availability.
  • RTS are underutilized for UAS trajectory estimation despite their potential for high-precision positioning.

Purpose of the Study:

  • To conduct a thematic literature review on trajectory estimation for UAS using decentralized multi-sensor systems with RTS.
  • To explore the integration of RTS with UAS onboard sensors (IMU, laser scanning) for enhanced pose estimation.
  • To identify challenges and necessary advancements for achieving sub-centimeter accuracy in UAS trajectory estimation using RTS.

Main Methods:

  • Thematic literature review of existing research on RTS measurement processes.
  • Analysis of RTS integration with UAS onboard measurements (IMU, laser scanning).
  • Evaluation of RTS-based UAS pose estimation, including time synchronization, atmospheric refraction, prism interaction, and image evaluation.

Main Results:

  • Existing research often addresses individual components of RTS-based UAS trajectory estimation but lacks integration.
  • Achieving sub-centimeter and sub-0.01 gon accuracies requires combining UAS trajectory estimation and RTS calibration techniques.
  • Current RTS applications for UAS are limited in realistic kinematic scenarios (distance and speed).

Conclusions:

  • A comprehensive approach combining existing works on UAS trajectory estimation and RTS calibration is necessary for high-accuracy positioning.
  • Future research must address time synchronization for integrated camera imaging and validate simulation results with field tests.
  • Adapting existing integrated trajectory estimation methods to optimally incorporate RTS data is crucial for advancing UAS navigation.