The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Humanoids
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Business
    • Financial
      • Investments
      • Mergers & Acquisitions
      • Earnings
    • Markets
      • Agriculture
      • Healthcare
      • Logistics
      • Manufacturing
      • Mining
      • Security
    • RBR50
      • RBR50 Winners 2025
      • RBR50 Winners 2024
      • RBR50 Winners 2023
      • RBR50 Winners 2022
      • RBR50 Winners 2021
  • Resources
    • Automated Warehouse Research Reports
    • Digital Issues
    • eBooks
    • Publications
      • Automated Warehouse
      • Collaborative Robotics Trends
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
  • Advertise
  • Subscribe

Researchers develop AV object detection system with 96% accuracy

By Brianna Wessling | December 13, 2022

A Waymo autonomous vehicle. | Source: Waymo

An international research team at the Incheon National University in South Korea has created an Internet-of-Things (IoT) enabled, real-time object detection system that can detect objects with 96% accuracy. 

The team of researchers created an end-to-end neural network that works with their IoT technology to detect objects with high accuracy in 2D and in 3D. The system is based on deep learning specialized for autonomous driving situations. 

“For autonomous vehicles, environment perception is critical to answer a core question, ‘What is around me?’ It is essential that an autonomous vehicle can effectively and accurately understand its surrounding conditions and environments in order to perform a responsive action,” Professor Gwanggil Jeon, leader of the project, said. “We devised a detection model based on YOLOv3, a well-known identification algorithm. The model was first used for 2D object detection and then modified for 3D objects,” he elaborates.

The team fed RGB images and point cloud data as input to YOLOv3. The identification algorithm then outputs classification labels and bounding boxes and accompanying confidence scores. 

The researchers then tested the performance of their system with the Lyft dataset and found that YOLOv3 was able to accurately detect 2D and 3D objects more than 96% of the time. The team sees many potential uses for their technology, including for autonomous vehicles, autonomous parking, autonomous delivery and for autonomous mobile robots. 

“At present, autonomous driving is being performed through LiDAR-based image processing, but it is predicted that a general camera will replace the role of LiDAR in the future. As such, the technology used in autonomous vehicles is changing every moment, and we are at the forefront,” Jeon said. “Based on the development of element technologies, autonomous vehicles with improved safety should be available in the next 5-10 years.”

The team’s research was recently published in IEEE Transactions of Intelligent Transport Systems. Authors on the paper include Jeon, Imran Ahmed, from Anglia Ruskin University’s School of Computing and. Information Sciences in Cambridge, and Abdellah Chehri, from the department of mathematics and computer science at the Royal Military College of Canada in Kingston, Canada. 

About The Author

Brianna Wessling

Brianna Wessling is an Associate Editor, Robotics, WTWH Media. She joined WTWH Media in November 2021, after graduating from the University of Kansas with degrees in Journalism and English. She covers a wide range of robotics topics, but specializes in women in robotics, autonomous vehicles, and space robotics.

She can be reached at bwessling@wtwhmedia.com

Comments

  1. lmao says

    December 14, 2022 at 5:00 am

    So only 4 out of 100 people will get driven over, that’s nice.
    Better track record than a 20 year old male on a Saturday night!

    Reply
    • Manny says

      December 19, 2022 at 3:21 pm

      Lol that’s not good it works. I’m sure the 96%includes humans. It means it might not identify a crocodile on the freeway with that 4%.

      Reply

Tell Us What You Think! Cancel reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Related Articles Read More >

By integrating robotics, advanced motion control, and intelligent safety systems, this innovative solution delivered exceptional results for a time sensitive infrastructure project.
Welding project uses robotics to crunch 12 workhours into 45 minutes
The SCHURTER UHP Fuse.
SCHURTER releases UHP high-current SMD fuse for humanoids
Sojo Industries raises $40M to scale mobile manufacturing lines
headshot of Cam Myers of CreateMe and the robot report podcast logo.
How robotics is changing the apparel industry

RBR50 Innovation Awards

“rr
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for Robotics Professionals.
The Robot Report Listing Database

Latest Episode of The Robot Report Podcast

Automated Warehouse Research Reports

Sponsored Content

  • Sager Electronics and its partners, logos shown here, will exhibit at the 2025 Robotics Summit & Expo. Sager Electronics to exhibit at the Robotics Summit & Expo
  • The Shift in Robotics: How Visual Perception is Separating Winners from the Pack
  • An AutoStore automated storage and retrieval grid. Webinar to provide automated storage and retrieval adoption advice
  • Smaller, tougher devices for evolving demands
  • Modular motors and gearboxes make product development simple
The Robot Report
  • Automated Warehouse
  • RoboBusiness Event
  • Robotics Summit & Expo
  • About The Robot Report
  • Subscribe
  • Contact Us

Copyright © 2025 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Humanoids
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Business
    • Financial
      • Investments
      • Mergers & Acquisitions
      • Earnings
    • Markets
      • Agriculture
      • Healthcare
      • Logistics
      • Manufacturing
      • Mining
      • Security
    • RBR50
      • RBR50 Winners 2025
      • RBR50 Winners 2024
      • RBR50 Winners 2023
      • RBR50 Winners 2022
      • RBR50 Winners 2021
  • Resources
    • Automated Warehouse Research Reports
    • Digital Issues
    • eBooks
    • Publications
      • Automated Warehouse
      • Collaborative Robotics Trends
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
  • Advertise
  • Subscribe