Vehicle Dynamics International
  • News
    • Braking
    • Chassis
    • Driveline & Transmission
    • Dynamics Software
    • Electronic Dynamic Control
    • Lightweighting
    • OEM News
    • Ride Comfort
    • Simulation
    • Steering
    • Tires and wheels
    • Vehicle Testing
  • Features
  • Online Magazines
    • December 2024
    • May 2023
    • December 2023
    • May 2023
    • November 2022
    • Spring 2022
    • Subscribe Free!
  • Videos
  • Supplier Spotlight
  • Jobs
    • Browse Jobs
    • Post a Job – It’s FREE!
    • Manage Jobs (Employers)
  • Events
  • VDI Awards
    • 2022 Vehicle Dynamics International Awards: the winners!
    • 2021 Vehicle Dynamics International Awards: the winners!
    • 2020 Vehicle Dynamics International Awards: the winners!
    • 2019 Vehicle Dynamics International Awards: the winners!
    • 2018 Vehicle Dynamics International Awards: the winners!
    • 2017 Vehicle Dynamics International Awards: the winners!
LinkedIn YouTube X (Twitter)
Subscribe to Magazine SUBSCRIBE TO EMAIL NEWSLETTER MEDIA PACK
LinkedIn
Vehicle Dynamics International
  • News
      • Braking
      • Chassis
      • Driveline & Transmission
      • Dynamics Software
      • Electronic Dynamic Control
      • Lightweighting
      • OEM News
      • Ride Comfort
      • Simulation
      • Steering
      • Tires and wheels
      • Vehicle Testing
  • Features
  • Supplier innovations
  • Online Magazines
    1. December 2024
    2. May 2024
    3. December 2023
    4. May 2023
    5. November 2022
    6. Spring 2022
    7. Subscribe Free!
    Featured
    December 10, 2024

    The December 2024 issue of Vehicle Dynamics International is out!

    Braking By Web Team
    Recent

    The December 2024 issue of Vehicle Dynamics International is out!

    December 10, 2024

    The May 2024 issue of Vehicle Dynamics International is out!

    May 20, 2024

    The December 2023 issue of Vehicle Dynamics International is out!

    December 19, 2023
  • Videos
  • Supplier Spotlight
  • Jobs
    • Browse Jobs
    • Post a Job – It’s FREE!
    • Manage Jobs (Employers)
  • Events
  • VDI Awards
    • 2023 Vehicle Dynamics International Awards: the winners!
    • 2022 Vehicle Dynamics International Awards: the winners!
    • 2021 Vehicle Dynamics International Awards: the winners!
    • 2020 Vehicle Dynamics International Awards: the winners!
    • 2019 Vehicle Dynamics International Awards: the winners!
    • 2018 Vehicle Dynamics International Awards: the winners!
    • 2017 Vehicle Dynamics International Awards: the winners!
LinkedIn
Vehicle Dynamics International
Dynamics Software

Hyundai integrates machine learning into smart cruise control

Adam GavineBy Adam GavineOctober 23, 20193 Mins Read
Share LinkedIn Twitter Facebook Email

Hyundai has independently developed what it says is the world’s first machine learning-based smart cruise control (SCC-ML) technology, a system that incorporates the driver’s patterns into its self-driving behaviour, to create a travel experience suitable for the individual driver. The technology incorporates artificial intelligence (AI) within the advanced driver assistance system (ADAS), and is planned for implementation in future Hyundai Motor Group vehicles.

Smart cruise control (SCC) enables self-driving features and is a core technology for ADAS, maintaining an appropriate distance from the vehicle ahead while travelling at the speed selected by the driver. The SCC-ML combines AI and SCC into a system that learns the driver’s patterns and habits on its own, and through machine learning, can then autonomously drive in the same patterns as the driver.

“The SCC-ML improves upon the intelligence of the previous ADAS technology to dramatically improve the practicality of semi-autonomous features,” said Woongjun Jang, VP at Hyundai Motor Group. “Hyundai Motor Group will continue the development efforts on innovative AI technologies to lead the industry in the field of autonomous driving.”

In order to operate current SCC systems, the driver manually adjusts driving patterns, such as the distance from the preceding vehicle and acceleration. As good as the systems are, they are not able to meticulously fine-tune the settings to accommodate the driver’s individual preferences.

For example, a driver may accelerate differently in high speed, mid speed and low-speed environments, depending on the circumstances. Therefore, when SCC is activated, the vehicle may operate in a different way to their preferences, and when drivers sense this difference they may feel anxious and thus reluctant to use the technology. However, the detailed fine-tuning enabled by machine-learning technology makes the vehicle’s operation closer to their own individual driving style. 

So how does SCC-ML work? First, sensors such as the front camera and radar constantly acquire driving information and send it to the centralised computer, which then extracts relevant details from the gathered information to identify the driver’s patterns. An artificial intelligence technology – the machine-learning algorithm – is applied during this process.

The driving pattern can be categorised into three parts: distance from preceding vehicles, acceleration patterns, and responsiveness (how quickly the driver responds to driving conditions). Driving conditions and speeds are also considered.

For instance, the system would maintain a short distance from the preceding vehicle during slow city driving and further away when driving in the overtaking lane of a freeway. Taking into account these various conditions, SCC-ML makes an analysis to distinguish over 10,000 patterns, and this flexible SCC technology can adapt to any driver’s patterns. The driving pattern information is regularly updated with sensors, reflecting the driver’s latest driving style. In addition, SCC-ML is programmed specifically to avoid learning unsafe driving patterns.

According to Hyundai, SCC-ML achieves Level 2.5 self-driving. which is useful for upcoming highway driving assist systems that feature automatic lane-change assistance.

Share. Twitter LinkedIn Facebook Email
Previous ArticlePolestar’s dynamics team discovers the ‘golden ride’
Next Article Bloodhound’s supersonic wheel designs revealed
Adam Gavine
  • X (Twitter)

Adam divides his time as an editor between the worlds of aviation and motoring. These worlds may seem a little diverse today, but autonomous technology and future urban mobility is bringing them ever-closer. Adam is also chairman of the Vehicle Dynamics International Awards.

Related Posts

Dynamics Software

Awards for ADAS & Autonomous Vehicle innovation to be announced this week

May 19, 20254 Mins Read
Industry news

ATTI Awards winners to be announced on 20 May

May 19, 20254 Mins Read
Industry news

VI-grade announces final programme for 2025 Zero Prototypes Summit

April 25, 20253 Mins Read
Latest Posts

Awards for ADAS & Autonomous Vehicle innovation to be announced this week

May 19, 2025

ATTI Awards winners to be announced on 20 May

May 19, 2025

VI-grade launches Cloud platform to boost scalable vehicle simulation capabilities

May 14, 2025
Our Social Channels
  • LinkedIn
Getting in Touch
  • Free Email Newsletters
  • Meet The Editors
  • Contact Us
  • Media Pack
Related Topics
  • Electric & Hybrid Vehicle
  • Industrial Vehicle Technology
FREE NEWS EMAIL!

Get essential industry news from this website direct to your inbox every fortnight


© 2023 Mark Allen Group Ltd | All Rights Reserved
  • Cookie Policy
  • Privacy Policy
  • Terms & Conditions

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