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

GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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...
Geoid and Ellipsoid01:28

Geoid and Ellipsoid

The Earth's shape is best described as an ellipsoid, a slightly flattened sphere created by rotating an ellipse around its minor axis. This flattening results in the polar axis being about 21 kilometers shorter than the equatorial axis. In contrast, the geoid represents the Earth's gravitational shape and aligns with the mean sea level (MSL). The geoid is an irregular equipotential surface where gravity is perpendicular at every point. Variations in Earth's mass distribution cause geoid...
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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...
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...

You might also read

Related Articles

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

Sort by
Same author

Boosting NADPH with GABA: Converting aged seeds to functional soybean sprouts.

Food chemistry: X·2026
Same author

Astrocyte-derived exosome-mediated siRNA delivery combined with quercetin-Mn complex promotes neural repair in spinal cord injury.

Journal of controlled release : official journal of the Controlled Release Society·2026
Same author

Exosomes Entangle with Spinal Cord Injury: Miracles Arise from the Byproducts of Mesenchymal Stem Cells.

Current stem cell research & therapy·2026
Same author

Application of a YOLOv8-based model on lateral lumbar radiographs for screening of acute and chronic thoracolumbar fractures and osteoporosis.

BMC musculoskeletal disorders·2026
Same author

Evaluation of polyethyleneimine-functionalized cellulose for the capture of valeric acid, a model wound malodor compound.

Cellulose (London, England)·2026
Same author

Cordycepin-Enriched Cordyceps militaris Extract ARA815 Induces Ferroptosis in Lung Cancer Cells In Vivo and In Vitro.

Molecular nutrition & food research·2026

Related Experiment Video

Updated: Jun 13, 2026

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

GeoRescue: A Geometric LiDAR Point Cloud Registration Framework for Resource-Constrained Edge Platforms.

Yuyu Sun1, Zongkai Shang1, Mingxiao Yang1

  • 1College of Computer Science and Technology, Changchun University, Changchun 130022, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary

GeoRescue offers accurate LiDAR point cloud registration for edge devices without GPUs. This training-free framework achieves high precision, enabling practical deployment in robotics and industrial automation.

Keywords:
LiDAR point cloud registrationedge sensinglow-overlap registrationresource-constrained platformsrobotics perceptiontraining-free geometric registration

Related Experiment Videos

Last Updated: Jun 13, 2026

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

Area of Science:

  • Robotics and Automation
  • Computer Vision
  • Geospatial Data Processing

Background:

  • Accurate LiDAR point cloud registration is crucial for intelligent robotics and industrial automation.
  • Existing learning-based methods often require significant computational resources (e.g., GPUs) and extensive training, limiting their deployment on resource-constrained edge platforms.
  • Challenges include handling low-overlap matching, false correspondences, and fine alignment under strict computing budgets.

Purpose of the Study:

  • To propose GeoRescue, a novel training-free geometric registration framework for high-precision LiDAR point cloud registration on edge devices.
  • To address the limitations of current methods by providing a solution that operates efficiently without GPU acceleration.
  • To enable practical deployment of advanced perception capabilities on mobile edge platforms.

Main Methods:

  • GeoRescue employs a three-stage modular approach: Asymmetric Correspondence Expansion (ACE) to increase true matches, Dynamic Geometric Topology Gating (DGTG) to filter false matches using distance consistency, and Uncertainty-Aware Manifold Refinement (UAMR) for improved fine alignment via covariance-guided optimization.
  • The framework is designed to be training-free, reducing deployment barriers.
  • It operates under stringent hardware limitations, specifically targeting GPU-free edge CPU platforms.

Main Results:

  • GeoRescue achieved high registration recall rates of 84.84% on 3DMatch and 41.27% on 3DLoMatch.
  • Demonstrated a 94.95% success rate on the KITTI dataset.
  • Matched the accuracy of high-capacity learning models while running on a low-power (15W) edge CPU (Intel Core i5-8265U) without a GPU.

Conclusions:

  • GeoRescue presents a deployment-ready solution for LiDAR point cloud registration on resource-constrained edge platforms.
  • The framework offers an optimal efficiency-accuracy trade-off, making it suitable for real-world robotics and industrial automation applications.
  • It overcomes the hardware dependency of learning-based methods, enabling advanced perception in complex scenarios.