Skip to main content

Visteon cockpit concept learns the driver's habit

A cockpit concept that offers advice on a different route when there are delays on the usual road, or adjusts the cabin temperature based on the driver’s preferences and the outside temperature, has been developed by US automotive supplier Visteon. Habit offers these solutions and others by incorporating artificial intelligence (AI) to deliver an enhanced driving experience. Visteon's Human Bayesian Intelligence Technology (Habit) system employs machine learning algorithms that are cognisant of the specific
May 20, 2013 Read time: 2 mins
A cockpit concept that offers advice on a different route when there are delays on the usual road, or adjusts the cabin temperature based on the driver’s preferences and the outside temperature, has been developed by US automotive supplier 2165 Visteon.

Habit offers these solutions and others by incorporating artificial intelligence (AI) to deliver an enhanced driving experience. Visteon's Human Bayesian Intelligence Technology (Habit) system employs machine learning algorithms that are cognisant of the specific driver and the surrounding environment.

The Habit system continually learns as it processes a driver's selections of climate temperatures, radio stations, telephone calls and other unique behaviours depending on the outside temperature and time of day. It factors in the individual's historical inputs to present a human-machine interaction (HMI) that is customised for the driver. The system also learns the driver's tastes, even when he or she is not in the vehicle, by, for example, remembering the music that the driver has listened to.

"The goal of Habit is to become an experience that improves each time the driver uses the ever-aware system," said Shadi Mere, innovation manager at Visteon. "With vehicle manufacturers striving to deliver a more personalised driving experience, the Habit cockpit concept demonstrates how your car can learn and grow with you over its lifetime."

For more information on companies in this article

Related Content

  • Transportation applications move to machine vision’s mainstream
    June 11, 2015
    The adaptation of machine vision to transport applications continues apace. That the machine vision industry is taking traffic installations seriously is evident by the amount of hardware and software products tailor-made for ITS applications that are now available on the market. A good example comes from US-based Gridsmart Technologies which has developed a single wire fisheye camera that provides a horizon to horizon view for use at intersections. Not only does the single camera replace four or more in a
  • Tech giants could herald loss of MaaS policy control
    March 25, 2020
    With tech giants targeting the transport sector, could local authorities lose control of their means of delivering policy?
  • ProPart AV trial crosses the line
    March 25, 2020
    The perceived safety benefits of autonomous vehicles can only be realised with precise positioning. Ben Spencer reports from Sweden on work by a European consortium which aims to use the technology to allow a truck to carry out an automated lane change
  • Want intelligent transit? Then share data
    March 2, 2022
    How will the US deploy intelligent transit networks that enable connected vehicles? Data sharing is crucial if urban mobility users are to benefit, explains Timothy Menard of Lyt