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

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
Levels of Use of a GIS01:29

Levels of Use of a GIS

79
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
79

You might also read

Related Articles

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

Sort by
Same author

A CRX-positive RB1-deficient bone tumour with a retinoblastoma-like DNA methylation profile.

Histopathology·2026
Same author

MUC4-Positive Fibroblastoma: Clinicopathological and Molecular Analysis of 7 Cases.

The American journal of surgical pathology·2026
Same author

Ozonated Olive Oil Attenuates Hepatic Steatosis in Obese db/db Mice: Evidence for Triacylglycerol-derived Ozonides as Key Bioactive Species.

Journal of oleo science·2026
Same author

Durable tumor control with stereotactic radiotherapy and doxorubucin-ifosfamide chemotherapy in primary intracranial sarcoma, <i>DICER1</i>-mutant: a case report.

International cancer conference journal·2026
Same author

BEND2 Immunohistochemistry as a Useful Diagnostic Marker for Astroblastomas With BEND2 Fusion.

The American journal of surgical pathology·2026
Same author

Successful Surgical Treatment of Pediatric <i>FUS</i>::<i>TFCP2</i>-Positive Rhabdomyosarcoma of the Mandible: A Case Report.

International journal of surgical pathology·2026

Related Experiment Video

Updated: Aug 14, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K

Map building using helmet-mounted LiDAR for micro-mobility.

Ibuki Yoshida1, Akihiko Yoshida1, Masafumi Hashimoto2

  • 1Graduate School of Science and Engineering, Doshisha University, Kyotanabe, Japan.

Artificial Life and Robotics
|January 16, 2023
PubMed
Summary

This study introduces a novel point-cloud mapping method for micro-mobility using helmet-mounted LiDAR. It corrects motion distortion for accurate 3D environment mapping.

Keywords:
Distortion correctionHelmet-mounted LiDARMicro-mobilityNDT SLAM

More Related Videos

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice
08:59

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

Published on: March 3, 2023

2.2K
Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
08:55

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

7.6K

Related Experiment Videos

Last Updated: Aug 14, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.4K
An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice
08:59

An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice

Published on: March 3, 2023

2.2K
Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion
08:55

Determining and Controlling External Power Output During Regular Handrim Wheelchair Propulsion

Published on: February 5, 2020

7.6K

Area of Science:

  • Robotics and Autonomous Systems
  • Geospatial Data Science

Background:

  • Accurate 3D mapping is crucial for micro-mobility navigation.
  • Motion and vibration from micro-mobility vehicles cause significant distortion in LiDAR data.

Purpose of the Study:

  • To develop a robust point-cloud mapping method for micro-mobility.
  • To correct motion-induced distortions in LiDAR measurements for improved mapping accuracy.

Main Methods:

  • Utilized a helmet-mounted Light Detection and Ranging (LiDAR) sensor.
  • Employed Normal Distributions Transform-based Simultaneous Localization and Mapping (NDT SLAM) and an Inertial Measurement Unit (IMU) for pose estimation.
  • Applied a Kalman filter-based algorithm for motion distortion correction, assuming near-constant velocity motion.
  • Mapped corrected LiDAR data onto an elevation map and extracted stationary objects using the occupancy grid method.

Main Results:

  • Successfully corrected LiDAR measurement distortions caused by micro-mobility motion.
  • Generated accurate point-cloud maps of the environment by utilizing stationary object measurements.
  • Demonstrated the effectiveness of the proposed method in a campus road environment.

Conclusions:

  • The proposed method effectively builds point-cloud maps for micro-mobility by correcting LiDAR motion distortion.
  • This approach enhances the reliability and accuracy of mapping in dynamic environments.
  • The integration of NDT SLAM, IMU, and Kalman filtering provides a robust solution for micro-mobility mapping.