Car collision avoidance system to enter truck market

NEW MINAS, N.S.- The Mobileye collision avoidance system, already standard in new cars such as GM, Ford, Crysler, Honda, Hyunday and BMW, is entering the trucking market.

The Mobileye system can be installed in any vehicle, including trucks and is now being tested in commercial fleets in Nova Scotia and New Brunswick.

And on March 18th, Eric Bolland, CEO of Bolland Driving Solutions, Mobileye’s first dealer in Atlantic Canada and Mobileye’s Director for North America, Mark Medawar, will be presenting the collision avoidance system at a trucking conference in Dartmouth, Nova Scotia. The conference is a partnership between the Workers’ Compensation Board of Nova Scotia and the Nova Scotia Trucking Safety Association.

“It’s a little like having a co-pilot,” Bolland says. The system’s artificial vision technology includes lane, vehicle, pedestrian and traffic sign detection.

In Nova Scotia, a Coldbrook-based firm with fleets in Atlantic Canada and Ontario is now testing Mobileye as part of its training program, Bolland says. And in New Brunswick, a major Canadian carrier based near Moncton is starting a pilot study in April, using Mobileye in about a dozen trucks, Bolland claims.

“Distracted driving is a huge issue for parents, business owners and fleet owners,” Bolland says. “As a person who spends 5,000 kilometres a month on the road training new drivers, I see a lot of driver error issues. Commercial drivers face a range of hazards including weather conditions, distractions such as cell phone use, and fatigue – and driver fatigue linked to driver error such as lane departure is on the rise.”

“Mobileye can distinguish between vehicles, pedestrians and bicycles. Its real-time alert gives the driver time to avoid a potential collision.”

 


Have your say


This is a moderated forum. Comments will no longer be published unless they are accompanied by a first and last name and a verifiable email address. (Today's Trucking will not publish or share the email address.) Profane language and content deemed to be libelous, racist, or threatening in nature will not be published under any circumstances.

*