Skip to main content

Denso demonstrates HMI systems expertise

Human machine interface (HMI) systems are being demonstrated for the first time by Denso at the 2015 ITS World Congress, as part of the company’s planned roadmap to fully automated driving. Denso has predicted full automation will be reached at some point after 2020, requiring cooperation between four main fields of technology.
October 7, 2015 Read time: 2 mins
Sabrino Tullio of Denso

Human machine interface (HMI) systems are being demonstrated for the first time by 4306 Denso Corporation at the 2015 ITS World Congress, as part of the company’s planned roadmap to fully automated driving. Denso has predicted full automation will be reached at some point after 2020, requiring cooperation between four main fields of technology.

HMI is one of these four critical elements. The other three are communication with infrastructure, recognition of the driving environment and vehicle control assistance, according to Denso.

“Our goal is to support safe, reliable and secure driving, whoever is behind the wheel,” says the company’s global exhibition planning team manager Seiichiro Kunitomi. “HMI is vital for communication between the driver and the vehicle. Many different sensors, parameters and algorithms are important for detecting the awareness and condition of the driver in an automated situation.”

These include workload, speed and steering angle and driver drowsiness, health and attention. “Some of these HMI features are already in production, while others we are proposing to vehicle manufacturers,” Kunitomi says.

A number of HMI technologies can be experienced by delegates here in Bordeaux in a new driving simulator on Denso’s stand. These include harmonious illumination and a driver status monitor viewed from the driver’s seat on a thin film transistor head-up display.

For more information on companies in this article

Related Content

  • Fully autonomous vehicles ‘spur LiDAR sensors mass adoption’
    January 26, 2017
    Cost-effective, high-resolution light detection and ranging (LiDAR) sensors capable of long-range object detection will be necessary for high to fully-automated driving applications. Demand for 3D mapping and imaging, better overall performance, automated processing of graphic data gathering and self-sufficient sensor with best-in-class performance in low-visibility conditions are factors driving the development and adoption of LiDAR sensors within the advanced driver assistance systems (ADAS) sensor suite
  • Network video alternative to machine vision in urban applications
    January 11, 2013
    It would be easy to fall into the trap of seeing machine vision as the vision-based solution for ITS and traffic, however Patrik Anderson, Director Business Development Transportation of Axis Communications, notes that many of the applications which are coming to be associated with machine vision – and, indeed, many of the characteristics, such as at-the-edge analytics and image processing – are also possible with open-standard networked video. Networked video brings a whole host of advantages, such as the
  • Where is tolling tech taking us?
    September 25, 2019
    From DSRC and RFID to GNSS or smartphones – which technology is ‘best’ for tolls, charging and pricing schemes? In the first of two articles, Josef Czako examines the options
  • A journey into the Dilemma Zone with Econolite
    January 16, 2025
    Indecision on the road can kill. Econolite’s Sunny Chakravarty and Vincent Mayeda present new data-driven dilemma zone and intersection safety strategies for a Vision Zero future