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

You might also read

Related Articles

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

Sort by
Same author

Unfolded RPCA Network for Mitigating Inter-Transmitter Code Interference in MIMO PMCW Systems.

Sensors (Basel, Switzerland)·2026
Same author

DNN-Based Estimation for Misalignment State of Automotive Radar Sensor.

Sensors (Basel, Switzerland)·2023
Same author

FPGA Implementation of the Chirp-Scaling Algorithm for Real-Time Synthetic Aperture Radar Imaging.

Sensors (Basel, Switzerland)·2023
Same author

Autoencoder-Based Target Detection in Automotive MIMO FMCW Radar System.

Sensors (Basel, Switzerland)·2022
Same author

A new murine esophageal organoid culture method and organoid-based model of esophageal squamous cell neoplasia.

iScience·2021
Same author

Compressive Sensing-Based SAR Image Reconstruction from Sparse Radar Sensor Data Acquisition in Automotive FMCW Radar System.

Sensors (Basel, Switzerland)·2021
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: Nov 7, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

8.0K

Dual-Mode Radar Sensor for Indoor Environment Mapping.

Seongwook Lee1, Song-Yi Kwon1, Bong-Jun Kim2

  • 1School of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Gyeonggi-do 10540, Korea.

Sensors (Basel, Switzerland)
|April 30, 2021
PubMed
Summary
This summary is machine-generated.

A novel dual-mode radar sensor enables effective indoor mapping by combining distance, velocity, and angle data with robot motion information for precise localization and environmental representation.

Keywords:
dual-mode detectionfrequency-modulated continuous wave radarmultiple-input multiple-output antennasimultaneous localization and mapping

More Related Videos

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.6K
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

1.6K

Related Experiment Videos

Last Updated: Nov 7, 2025

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

8.0K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.6K
Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible
14:44

Harmonic Radar Tags for Insect Tracking: Lightweight, Low-cost, and Accessible

Published on: May 13, 2025

1.6K

Area of Science:

  • Robotics
  • Sensor Technology
  • Signal Processing

Background:

  • Indoor mapping presents challenges due to GPS limitations.
  • Accurate self-localization is crucial for mobile robots in unknown environments.
  • Radar sensors offer potential for robust environmental perception.

Purpose of the Study:

  • To develop and evaluate a dual-mode radar sensor system for indoor mapping.
  • To integrate radar-based target detection with robot ego-motion estimation.
  • To demonstrate effective simultaneous localization and mapping (SLAM) in indoor settings.

Main Methods:

  • A custom dual-mode frequency-modulated continuous wave (FMCW) radar sensor operating at 62 GHz with a MIMO antenna system was developed.
  • The radar sensor alternately transmits two waveforms optimized for long-range and short-range detection.
  • The radar system was mounted on a mobile robot, fusing radar detection data with robot motion information (speed, rotation).

Main Results:

  • The developed radar system successfully performed indoor mapping by estimating target distance, velocity, and angle.
  • Integration of radar data with robot motion information enabled accurate self-positioning.
  • The radar-based mapping results were validated against actual map data, showing effective achievement.

Conclusions:

  • The dual-mode FMCW radar sensor system is effective for indoor mapping and localization.
  • Combining radar sensing with robot motion data is a viable approach for SLAM.
  • The developed system demonstrates a promising solution for autonomous navigation in indoor environments.