To prevent accidents, car must know its driver

May 30, 2007 by Lisa Zyga, Phys.org feature
To prevent accidents, car must know its driver

Over the past several years, scientists working in the area of intelligent vehicles have developed predictive braking systems to help prevent rear-end collisions. When your car gets dangerously close to the car in front of you, the system can warn you or automatically put on the brakes.

While this intelligent system has the potential to greatly reduce the number of accidents due to inattentive drivers, it also runs the risk of becoming an annoyance as a “backseat driver,” causing drivers to ignore or disable the system. The key to its smooth integration, according to scientists, is training the system to understand its driver’s intentions and respond accordingly.

Scientists Joel McCall and Mohan Trivedi from the University of California at San Diego have presented a method for determining whether or not a driver is planning to brake when approaching a vehicle in front of it. The system, which uses eight sensors, plus color cameras, near-infrared cameras and LASER RADAR, minimizes the false alarm rate and maximizes necessary braking action.

“Driving is indeed a ‘dangerous’ task, where spilt second decisions avert or cause accidents,” Trivedi explained to PhysOrg.com. “It is important to make sure that the interfaces for Intelligent Driver Assistance Systems (IDAS) are reliable, trustworthy, and do not distract drivers from the primary task of safe driving.”

Of the estimated 300,000 rear-end collisions that occurred in 2000, 65% listed driver inattention as the leading contributing factor, according to the General Estimates System crash database. With a false alarm rate of only 0.2, the braking system successfully predicted a driver’s intention to brake 1 second before at a detection rate of about 0.9 in real-life experimental trials. The scientists wrote that these results show the feasibility and promise of the implementation of intelligent braking systems in the future.

“There were two main challenges in designing this system,” said Trivedi. “The first dealt with experimental data collection and processing. We designed a unique instrumented vehicle test bed to capture vehicle dynamics, vehicle exterior and vehicle interior data in a synchronized and robust manner, when the vehicle was driven in ‘natural’ settings on San Diego freeways. The second challenge was to develop the machine learning framework, using the collected data, for matching drivers’ intentions to situational needs.”

McCall and Trivedi’s system captures information about the driver by observing the driver’s head, facial movements (such as the lips), and foot movements, including pedal position, pressure, and hovering. This information is integrated with information about the vehicle and environment, such as acceleration, proximity to other cars, steering wheel position, and use of turn signals. A computer in the vehicle’s trunk captures and synchronizes the data from the different sources.

The scientists explain an example situation: When a car gets within a certain distance of the vehicle in front of it, the braking system determines if the driver is alert (for example, if the foot hovers over the brake pedal). If so, then the system recognizes this behavior and doesn’t interfere. If the system senses that the driver is distracted (for example, not facing the road), the system issues a warning.

If the driver continues to take no action and the car gets closer, the system automatically applies the brakes. After compiling enough data on the driver’s behavior, the system can even predict when the driver normally starts braking, and issue a warning when the driver deviates from their normal behavior.

While their test results have shown that computers can begin to “understand” human behavior, McCall and Trivedi explain that more research is required before this system is commercialized. Some challenges include the warning interface: determining types, levels, and methods of warning a driver without causing annoyance or distraction.

“IDAS are gaining prominence among most major automobile research and development centers,” said Trivedi. “I expect that elements of the intelligent braking systems, similar to those discussed in our paper, would find their way in selected models within the next five years or so.”

Citation: McCall, Joel C. and Trivedi, Mohan M. “Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles.” Proceedings of the IEEE. Vol. 95, No. 2, February 2007.

Read more information on the Laboratory for Intelligent and Safe Vehicles at http://cvrr.ucsd.edu/LISA. A news video can also be viewed at http://www.youtube.com/watch?v=TzTAijNwF9I.

Copyright 2007 PhysOrg.com.
All rights reserved. This material may not be published, broadcast, rewritten or redistributed in whole or part without the express written permission of PhysOrg.com.

Explore further: Engineers propose coordinated control to assist drivers

Related Stories

Engineers propose coordinated control to assist drivers

April 13, 2018

Engineers have proposed a coordinated control architecture for motion management in advanced driver assistance systems (ADAS) to increase safety and comfort across all vehicles, regardless of ADAS specifics.

Autonomous driving – hands on the wheel or no wheel at all

April 12, 2018

Vehicles on the road today are getting smarter, safer and more capable. But even the newest vehicles vary widely in their advanced driver assistance systems (ADAS), which aim to enhance safety and make driving more comfortable. ...

Advanced driver aids aren't just for luxury cars

April 4, 2018

Automakers have come a long way from safety features such as seat belts and air bags that are meant to prevent injuries in a crash. Today, manufacturers are adding advanced driver aids that can fend off an accident in the ...

A smart car that can read brain signals

March 26, 2018

EPFL and Nissan researchers are able to read a driver's brain signals and send them to a smart vehicle so that it can anticipate the driver's moves and facilitate the driving process. Nissan recently unveiled this brain-to-vehicle ...

Recommended for you

'Poker face' stripped away by new-age tech

April 14, 2018

Dolby Laboratories chief scientist Poppy Crum tells of a fast-coming time when technology will see right through people no matter how hard they try to hide their feelings.

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.