Jove
Visualize
Contact Us

Related Concept Videos

Topographic Surveying and Contours01:29

Topographic Surveying and Contours

143
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...
143
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

82
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...
82

You might also read

Related Articles

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

Sort by
Same author

High-Resolution Wind Tunnel Dataset of Gas Sensor Responses to Vapor Plumes in Scale Model Landscapes.

Scientific data·2026
Same author

Evaluating LiDAR Perception Algorithms for All-Weather Autonomy.

Sensors (Basel, Switzerland)·2025
Same author

Enhancing computation speed and accuracy in deep image prior-based parameter mapping.

Magnetic resonance in medicine·2025
Same author

Video WeAther RecoGnition (VARG): An Intensity-Labeled Video Weather Recognition Dataset.

Journal of imaging·2024
Same author

Exploration and Gas Source Localization in Advection-Diffusion Processes with Potential-Field-Controlled Robotic Swarms.

Sensors (Basel, Switzerland)·2023
Same author

Fuzzy Cluster-Based Group-Wise Point Set Registration With Quality Assessment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
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: Jul 24, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

633

Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors.

Himanshu Gupta1, Henrik Andreasson1, Achim J Lilienthal1,2

  • 1Centre for Applied Autonomous Sensor Systems, Örebro University, 702 81 Örebro, Sweden.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel approach for robust simultaneous localization and mapping (SLAM) and tree mapping in forestry using low-resolution LiDAR. The method enhances navigation and tree localization accuracy without GPS or IMU, addressing labor shortages in automated forest machines.

Keywords:
LiDAR mappingSLAMforest inventoryforestry roboticsscan registrationtree segmentation

More Related Videos

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.3K
Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research
07:05

Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research

Published on: September 27, 2024

2.7K

Related Experiment Videos

Last Updated: Jul 24, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

633
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.3K
Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research
07:05

Author Spotlight: Innovative Device Development for Advancing Dendroecology and Wood Anatomy Research

Published on: September 27, 2024

2.7K

Area of Science:

  • Robotics and Automation
  • Forestry Technology
  • Computer Vision

Background:

  • Automated forest machines are crucial due to hazardous conditions and labor shortages.
  • Existing SLAM methods struggle in complex forestry environments with limited sensor data.

Purpose of the Study:

  • To develop a robust SLAM and tree mapping method for forestry using low-resolution LiDAR.
  • To improve navigation accuracy and tree localization without relying on GPS or IMU.

Main Methods:

  • Utilized tree detection for scan registration and pose correction with low-resolution LiDAR (16Ch, 32Ch) and Solid State LiDAR.
  • Implemented adaptive pre-processing and heuristic tree detection.
  • Evaluated on private and public datasets.

Main Results:

  • Achieved robust scan registration, outperforming generalized algorithms with >3m RMSE reduction for 16Ch LiDAR and 3.7m RMSE for Solid-State LiDAR.
  • Increased tree detection by 13% compared to fixed radius search.
  • Automated tree trunk diameter estimation with 4.3cm MAE (6.5cm RMSE).

Conclusions:

  • The proposed method offers robust SLAM and tree mapping in forestry conditions using only low-resolution LiDAR.
  • This approach enhances the automation of forestry machines, improving efficiency and safety.