Skip to main content

Aisin shows system to combat driving emergencies

Aisin Group is showcasing a new system which should make the roads safer in the event of drivers suffering sudden trauma such as a heart attack. It will detect if a driver falls unconscious and is able remotely to bring the car to a safe halt on the hard shoulder of a highway.
October 8, 2015 Read time: 2 mins
Yu Tanaka (right) and Wataru Takayanagi of Aisin

6773 Aisin Group is showcasing a new system which should make the roads safer in the event of drivers suffering sudden trauma such as a heart attack. It will detect if a driver falls unconscious and is able remotely to bring the car to a safe halt on the hard shoulder of a highway.

Essentially an extension of existing parking technology, the driver monitor system has the potential to avert crashes, and is one of several new ideas that Aisin has on display at the ITS World Congress in Bordeaux. Others include a collision risk prediction and warning system tells the driver when a hazard is coming up – for example when a red traffic light is masked by a sharp bend.

It does this by using a combination of in-car camera and a database full of risk knowledge data which has been compiled via what Aisin calls its ‘deep neural network’ model for collision risk prediction. Meanwhile, the company’s map creation system automatically detects new roads that are not on existing GPS-based systems and creates new mapping data.

Road information uploaded from each vehicle is integrated into the server: shared with the cloud, and with Aisin’s database, it can then be used by other drivers. In addition, the driver can be alerted to accidents or congestion from emergency information via the system, which can then suggest alternative routes.

The demonstration vehicle, a Toyota Prius, contains all of these features – although Aisin has set no date for when the concept technology will be available on the open market.

For more information on companies in this article

Related Content

  • Big data and self-driving cars: New studies from ITF
    May 29, 2015
    Two new reports launched by the International Transport Forum (ITF) during the Annual Summit of Transport Ministers in Leipzig, Germany, highlight issues for the transport sector: the use of big data and the trend towards automated cars. The ITF claims that failing to ensure strong privacy protection in the collection and processing of location data may result in a regulatory backlash against the technology, which could hamper innovation and limit the social and economic benefits the use of such data delive
  • Esri maps cause and effect
    September 26, 2024
    The work of the Connecticut Transportation Safety Research Center means engineers can concentrate on developing more effective safety measures, rather than having to sort out raw crash data
  • Pile-up prompts Gulf States to counter fog menace
    September 23, 2014
    David Crawford investigates a promising development to counter the problem of fog in the Gulf States. Despite being a largely desert area with low rainfall, fog is a major driving hazard in countries on the Arabian peninsula, such as the UAE. The fog is the result of moist air moving across from the neighbouring Gulf during the afternoon and evening, and experiencing radiation cooling at night.
  • TomTom offers hybrid navigation solution 
    March 26, 2021
    Drivers can interact with TomTom’s navigation via Amazon Alexa