Close Menu
Automotive Testing Technology International
  • News
    • A-H
      • ADAS & CAVs
      • Aerodynamics
      • Appointments, Partnerships, Investments & Acquisitions
      • Automotive Testing Expo
      • Batteries & Powertrain Testing
      • Component Testing
      • Safety and crash testing
      • Dynamometers
      • EMC & Electronics Testing
      • Emissions & Fuel Consumption
      • Facilities
      • Full-vehicle Testing
    • I-Z
      • Interiors & Infotainment Testing
      • Measurement Tools, Test Systems & Equipment
      • Motorsport
      • NVH & Acoustics
      • Proving Grounds
      • R&D
      • Sensors & Transducers
      • CAE, Simulation & Modeling
      • Software Engineering & SDVs
      • Tire Testing
  • Features
  • Online Magazines
    • March 2025
    • November 2024
    • September 2024
    • June 2024
    • Crash Test Technology – 2023
    • Automotive Testing Technology
    • Subscribe to Automotive Testing
    • Crash Test Technology
    • Subscribe to Crash Test Technology
  • Opinion
  • Awards
    • About
    • What’s new and key dates
    • Eligibility and nomination
    • Get in touch
    • Judges
    • Winner interviews
  • Videos
  • Supplier Spotlight
  • Proving Grounds
  • Events
LinkedIn Facebook X (Twitter)
  • Automotive Interiors
  • Automotive Powertrain
  • ADAS & Autonomous Vehicle
  • Professional Motorsport
  • Tire Technology
  • Media Pack
LinkedIn
Subscribe
Automotive Testing Technology International
  • News
      • ADAS & CAVs
      • Aerodynamics
      • Appointments, Partnerships, Investments & Acquisitions
      • Automotive Testing Expo
      • Batteries & Powertrain Testing
      • Component Testing
      • Safety and crash testing
      • Dynamometers
      • EMC & Electronics Testing
      • Emissions & Fuel Consumption
      • Facilities
      • Full-vehicle Testing
      • Interiors & Infotainment Testing
      • Measurement Tools, Test Systems & Equipment
      • Motorsport
      • NVH & Acoustics
      • Proving Grounds
      • R&D
      • Sensors & Transducers
      • CAE, Simulation & Modeling
      • Software Engineering & SDVs
      • Tire Testing
  • Features
  • Online Magazines
    1. March 2025
    2. November 2024
    3. Crash Test Technology – 2024
    4. September 2024
    5. June 2024
    6. Automotive Testing Technology
    7. Subscribe to Automotive Testing
    8. Crash Test Technology
    9. Subscribe to Crash Test Technology
    Featured
    April 9, 2025

    In this Issue – March 2025

    Automotive Testing Technology By Rachel Evans
    Recent

    In this Issue – March 2025

    April 9, 2025

    In this Issue – November 2024

    November 26, 2024

    In this Issue – 2024

    September 30, 2024
  • Opinion
  • Awards
    • About
    • What’s new and key dates
    • Eligibility and nomination
    • Get in touch
    • Judges
    • Winner interviews
    • ATTI Awards Forum
  • Videos
  • Supplier Spotlight
  • Proving Grounds
  • Events
LinkedIn
Subscribe
Automotive Testing Technology International
ADAS & CAVs

Japanese researchers improve radar recognition of humans in NLOS situations

Lawrence ButcherBy Lawrence ButcherOctober 4, 20213 Mins Read
Share LinkedIn Twitter Facebook Email

The University of Electro-Communications (UEC) in Tokyo, Japan, has released details of its latest research into radar recognition of humans for autonomous driving applications.

The research found that radar-based sensors have emerged as an essential component of driver assistance systems and self-driving vehicles, as they can robustly distinguish nearby pedestrians and other traffic-relevant objects. However, in addition to being applicable in bad weather, artificial recognition systems need to be capable of dealing with so-called non-line-of-sight (NLOS) situations, when the line of sight between detector and object is obstructed. In traffic, NLOS situations occur when pedestrians are blocked from sight; for example, a child behind a parked car, about to run suddenly into the street.

Associate professor Shouhei Kidera and his research team at UEC claim to have developed a radar-based detection method for recognizing humans in NLOS situations. The scheme is based on reflection and diffraction signal analysis and machine learning techniques.

The researchers performed radar experiments in an anechoic chamber, with a metallic plate placed in the chamber so that an NLOS situation arose when a target object moved behind the plate from the radar’s point of view. A 24GHz radar and two target objects were used in the experiments: a 30cm-long metallic cylinder and a human wearing light-colored clothes. Three regimes were investigated: complete NLOS, partially NLOS (target object positioned at the border between the NLOS and the LOS zone) and complete LOS. The signals received by the detector were intrinsically different for the metallic cylinder and the human. Even if a human stands still, breathing and small movements related to posture control cause changes in the reflected wave signals. The scientists found that the differences are enhanced by diffraction effects: the ‘bending’ of waves around the edges of the metallic plate.

The researchers applied a machine-learning algorithm to the reflection and diffraction signals to let their sensing device learn the difference between a human and a non-human object. A recognition rate of up to 80% was achieved. They also performed experiments with an actual car as the shielding object, which led to similar results and additional understanding of the dependence of the recognition success rate on the radar’s position relative to the target. Also, by carrying out additional experiments with a human performing a stepping motion, the scientists were able to recognize whether a human is standing still or walking, even in complete NLOS situations.

The results, remarked Kidera, signify an important step forward toward feasible self-driving car technology, though he noted that “there should be further investigation using other classifiers or features, which is our important future work”.

The full paper can be found here.

Share. Twitter LinkedIn Facebook Email
Previous ArticleUS 5G smart city to harness new cloud resources
Next Article Coventry University researchers test novel device to improve tire traction
Lawrence Butcher

Lawrence has been covering engineering subjects – with a focus on motorsport technology – since 2007 and has edited and contributed to a variety of international titles. Currently, he oversees Automotive Powertrain Technology International and Professional Motorsport World magazines as editor.

Related Posts

Active Safety

University of Glasgow develops AR system for real-world testing of cyclist and AV communication

April 16, 20256 Mins Read
Sensors & Transducers

Firmware update brings new capabilities to Ellipse sensors

April 14, 20252 Mins Read
ADAS & CAVs

Perforce report reveals shift toward safety and AI in automotive software engineering

April 9, 20253 Mins Read
Latest News

Final handling tests for Alpine A390 sport fastback

April 28, 2025

Mustang installs R&D heavy-duty test stand at Texas A&M

April 28, 2025

Thales to help Michelin protect and expand its software business

April 28, 2025
Free Weekly E-Newsletter

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Our Social Channels
  • LinkedIn
Getting in Touch
  • Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
RELATED UKI TITLES
  • Automotive Interiors
  • Automotive Powertrain
  • ADAS & Autonomous Vehicle
  • Professional Motorsport
  • Tire Technology
  • Media Pack
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Notice & Takedown Policy
  • Site FAQs

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

SAVE & ACCEPT