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

  • Panasonic in Colorado: Rocky mountain way
    December 3, 2018
    Panasonic is at the heart of a C-V2X project which began last year in Colorado. The company’s smart mobility boss Chris Armstrong tells Adam Hill how it is working out Colorado needs traffic and transport solutions – and fast. The US state’s population has grown 50% in the last 20 years and another 50% hike is predicted in the next 20. It also spends more than $13 billion in roadway crash costs each year. In 2015, 546 people died in traffic-related crashes, and more than 3,000 were seriously injured.
  • TTTech joins SafeTrans transportation safety group
    March 7, 2013
    To strengthen its close cooperation with partners and experts in the transportation field, Austrian network solutions provider TTTech has become a member of the competence group Safety in Transportation Systems (SafeTrans). SafeTrans is a group of industry experts and decision makers from railway, aerospace, space, automotive, off-highway and industrial segments and academia. The goal of the group is to combine know-how regarding research and development in the sector of embedded systems for transportation
  • How technology is propelling the development of urban shared transport
    April 11, 2024
    Over 18 million people use ride-hailing apps in the UK alone, says Mariusz Zabrocki of Freenow
  • RoadBotics clinches Detroit road assessment deal
    January 2, 2019
    RoadBotics has been chosen to use their machine-learning technology to assess the city of Detroit’s entire 4,185km road network. The company will work with PlanetM, a Michigan state networking partnership of mobility organisations, educational institutions, research and development groups and government agencies working together in the automotive sector. RoadBotics will provide Detroit transportation officials with its standard Artificial Intelligence pavement assessment as well as a new AI Maintenanc