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Groupement ADAS : Advanced Driver Assistance Systems
30 octobre 2017

Daimler is Building a Self-Driving Snow Plow

Daimler is Building a Self-Driving Snow Plow

Most of us have been affected by flight delays due to inclement weather. In fact, according to the Federal Aviation Administration (FAA), the largest cause of air traffic delays in the National Airspace System is the weather.

While flight delays are a nuisance, they also translate into real losses for industry-related companies and passengers. It’s estimated that a one-hour delay can result in a loss of $1,400-$4,500 (lots of variables). If you include passengers, the loss increases by $35 an hour for personal travel and an additional $63 for business travel. That’s for each passenger on board.

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Airports around the world continue to seek efficiencies in their operations, especially when it comes to reducing delays. For airports in regions where it snows heavily, hunting for new ways to expedite their snow-clearing operations is the norm.

Fortunately for those airports (and all of us), we’re only a couple of years away from seeing driverless winter service vehicles, lorries, snow removal vehicles, snow plows, or any of the other names they go by.

The Financial Times reported that Daimler Trucks is testing self-driving lorries near Frankfurt and they could be ready for widespread use by the end of 2019. According to Philipp Dreyer, who heads the project for Daimler, the technology behind these trucks doesn’t need to be as advanced as your traditional vehicles on the road that must navigate complex environments. “It’s not so much autonomous in the sense of watching the surroundings and making decisions, it’s more a predefined lane that is basically stored, digitally, in the vehicle,” he said.

 

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Groupement ADAS is a Team of innovative companies with over 20 years experience in the field of technologies used in assistance driver systems (design, implementation and integration of ADAS in vehicles for safety features, driver assistance, partial delegation to the autonomous vehicle).

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