Every day in the United States, over 1,000 people are injured in crashes that are reported to involve a distracted driver, according to the Center for Disease Control (CDC). Whenever a driver sends a text message, it takes their attention off the road for a full five seconds; that is long enough to drive the length of a football field if travelling 55 miles per hour. A new study conducted by the University of Waterloo, published in September of 2017, indicates that computer algorithms developed by engineers can accurately determine if a driver is texting and driving or otherwise distracted behind the wheel.
This new technology uses cameras and artificial intelligence to track a driver’s hand and eye movements. It compares them to the hand and eye movements of normal driving behavior and classifies them in terms of possible safety threats. Signs of driver distraction, as triggered by this type of software, could be used to deploy the protective measure of self-driving technology in cars. This is not so far-fetched, as many other self-driving features are increasingly being added to conventional cars. It could also be used as a warning device when a driver is caught being distracted, sending off a vibration in the driver’s seat or a beeping sound inside the vehicle’s cabin. As autonomous driving technology improves, the car could even take over when a driver becomes distracted, at least to avoid an imminent crash.
The software developers relied on extensive research that has been conducted at the University of Waterloo Center for Pattern Analysis and Machine Intelligence (CPAMI) on the recognition of signs that a driver is in danger of falling asleep behind the wheel. This research was designed to monitor hand and face position and micro sleep incidents. Developers are currently working to combine the three primary aspects of that technology into one functioning system: the detection system, the processing system, and the grading of driver distraction.
Researchers at CPAMI are also working on a similar technology that relies on the use of sensors to measure physiological signals of distraction, such as the rate of eye blinking, pupil size, and variations in a driver’s heart rate.
New Jersey Car Accident Lawyers at Eichen Crutchlow Zaslow & McElroy, LLP Fight for Victims Injured by Distracted DriversIf you or someone you love has been injured by a driver who you suspect was distracted, we can help. Our experienced legal team can help your family get the answers and compensation that they deserve. To schedule a free and confidential consultation with an experienced New Jersey car accident lawyer at Eichen Crutchlow Zaslow & McElroy, LLP, call us today at 732-777-0100 or contact us online. Our offices are in Red Bank, Edison, and Toms River, New Jersey.