Featured Research

from universities, journals, and other organizations

'Intelligent Car' Able To Learn From Owner’s Driving And Warn In Case Of Accident Hazard

Date:
September 22, 2009
Source:
University of Granada
Summary:
Scientists from six European countries have developed a new computer system, called DRIVSCO, that allows vehicles to learn from the behaviour of their drivers at the wheel, in such a way that they can detect if a driver presents an “unusual behavior” in a curve or an obstacle on the road and generates signals of alarm which warn the driver on time to react.

Screen of the DRIVSCO system.
Credit: Image courtesy of University of Granada

Scientists from six European countries have developed a new computer system, called DRIVSCO, that allows vehicles to learn from the behaviour of their drivers at the wheel, in such a way that they can detect if a driver presents an “unusual behaviour” in a curve or an obstacle on the road and generates signals of alarm which warn him on time to react.

Related Articles


Unlike other similar projects, DRIVSCO goes far beyond a computer vision system for driving assistance. The concept investigated was how to get that a car learns from the user’s driving facing a curve or an approaching intersection, a pedestrian or another vehicle. Regardless the type of driving of the driver, sporty or conservative (as it adapts to his driving), the system obtains a driving behaviour pattern.

Thus, during night driving, if the vehicle detects a deviation in his way of driving in face of a curve, it interprets that it is due t the lack of visibility of the driver (as the driver has a limited visibility of the low beams field, whereas the car’s night vision system is much more powerful and has a longer range). Therefore, it generates signals of alarm to warn the driver of his “unusual behaviour when approaching a curve”, or the detection of a potentially dangerous object, for instance.

Accidents at night

The persons in charge of this project state that 42 per cent of fatal traffic accidents happen at night, according to the data of the European Car Council, “an extremely worrying figure if we consider that traffic drops about a 60% during night hours”. This is due, among other factors, to the reduced visibility during night driving.

The Spanish representation in this project fell on a research group of the Department of Computer Architecture and Technology of the University of Granada (Spain) led by professor Eduardo Ros Vidal. DRIVSCO also has the participation of scientists from Germany (University of Gφttingen, University of Mόnster and the company Hella & Hueck), Denmark (University of Southern Denmark), Lithuania (University Vytautas Magnus), Belgium (Catholic University of Leuven) and Italy (University of Geneva).

The research group of the University of Granada has developed a system of artificial vision (analysis of the scenario) in an only chip. Such device receives input pictures and produces a first “interpretation of the scenario” in terms of depth (3D vision), local movement, image lines, etc, everything in an only electronic chip. This system can be assembled in different types of vehicles in future. In addition, they have used a “reconfigurable hardware”, so that the system can adapt itself to new field of application.

Promising results

During the tests, a group of drivers drove using DRIVSCO system so that the car could learn from their driving style. The car had also a differential GPS incorporated (with several centimetres of precision), detection systems of wheel turns, braking, etc, so that the research groups managed to check in great detail the style of driving in every case and the performance of the system. The first tests have offered promising results and have proved the usefulness of the new concept.

Professor Ros highlights that with this project “we do not intend to develop automatic driving systems (as it would be very difficult for insurance agencies and car companies to come to an agreement in the event of a crash), but advanced driving assistance systems”. DRIVSCO’s final goal is to avoid car accidents and contribute to keep drivers alert, focusing their attention to the maximum.

Part of the results of this project has been published in the renowned scientific journals “IEEE Trans on Image Processing”, “IEEE Trans. on Vehicular Technology” and “IEEE Transactions on Circuits for Video Technology”.


Story Source:

The above story is based on materials provided by University of Granada. Note: Materials may be edited for content and length.


Cite This Page:

University of Granada. "'Intelligent Car' Able To Learn From Owner’s Driving And Warn In Case Of Accident Hazard." ScienceDaily. ScienceDaily, 22 September 2009. <www.sciencedaily.com/releases/2009/09/090922100336.htm>.
University of Granada. (2009, September 22). 'Intelligent Car' Able To Learn From Owner’s Driving And Warn In Case Of Accident Hazard. ScienceDaily. Retrieved December 19, 2014 from www.sciencedaily.com/releases/2009/09/090922100336.htm
University of Granada. "'Intelligent Car' Able To Learn From Owner’s Driving And Warn In Case Of Accident Hazard." ScienceDaily. www.sciencedaily.com/releases/2009/09/090922100336.htm (accessed December 19, 2014).

Share This


More From ScienceDaily



More Matter & Energy News

Friday, December 19, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Navy Unveils Robot Fish

Navy Unveils Robot Fish

Reuters - Light News Video Online (Dec. 18, 2014) — The U.S. Navy unveils an underwater device that mimics the movement of a fish. Tara Cleary reports. Video provided by Reuters
Powered by NewsLook.com
3D Printed Cookies Just in Time for Christmas

3D Printed Cookies Just in Time for Christmas

Reuters - Innovations Video Online (Dec. 18, 2014) — A tech company in Spain have combined technology with cuisine to develop the 'Foodini', a 3D printer designed to print the perfect cookie for Santa. Ben Gruber reports. Video provided by Reuters
Powered by NewsLook.com
First Etihad Superjumbo Flight in December

First Etihad Superjumbo Flight in December

AFP (Dec. 18, 2014) — The first flight of Etihad Airways' long-awaited Airbus A380 superjumbo will take place later in December, the Abu Dhabi carrier said Thursday, also announcing its first Boeing 787 Dreamliner route. Duration: 01:09 Video provided by AFP
Powered by NewsLook.com
Ford Expands Air Bag Recall Nationwide

Ford Expands Air Bag Recall Nationwide

Newsy (Dec. 18, 2014) — The automaker added 447,000 vehicles to its recall list, bringing the total to more than 502,000. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins