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

  • New software could detect when people text and drive
    September 20, 2017
    Engineering researchers at Canada’s University of Waterloo are developing technology which can accurately determine when drivers are texting or engaged in other distracting activities. The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.
  • Value of time – the key decider
    March 4, 2014
    The ‘value of time’ concept can be a vital decider in prioritising transport projects, as Lorenzo Casullo and Serbjeet Kohli of Steer Davies Gleave explain. How much do travellers value their time and how much would they be willing to pay for a better and faster transport option? For many years Steer Davies Gleave (SDG) has been collecting this type of information from thousands of people across the world as it researches travellers’ behaviour. And given the importance of this parameter for transport mo
  • SafeRide: it’s time to act on cyberattacks
    May 10, 2019
    Cyber threats are increasing rapidly and conventional security measures are unable to keep up. Ben Spencer talks to SafeRide’s Gil Reiter about what OEMs can do now As more vehicles become connected, so the potential threats to their security increase. Gil Reiter, vice president of product management for security firm SafeRide, says the biggest ‘attack surface’ for connected cars is their internet connectivity - and the in-vehicle applications that use the internet connection. “The most vulnerable co
  • Assessing driver behaviour in work zones
    May 31, 2013
    David Crawford looks at moves to increase throughput and safety in work zones.