Much has been written about autonomous vehicles and their methods of navigation. But most of that writing is little more than science fiction. The systems described are usually just concepts that engineers are working toward. What is the current state of the art?
Dyllan Furness posted May 9th about emerging technology in Digital Trends magazine His article, titled “Get lost: MIT’s self-driving car takes on unmarked roads” examined the current capabilities of autonomous vehicles. He found that current AVs are only able to drive on well-mapped city streets. This deficiency would affect autonomous vehicles ability to navigate a work zone as well. As he wrote in his opening lines, “If you find yourself on a country road in a self-driving car, chances are you’re both pretty lost. Today’s most advanced autonomous driving systems rely on maps that have been carefully detailed and characterized in advanced. That means the millions of miles of unpaved roads in the United States are effectively off-limits for autonomous vehicles.”
MIT is working to change that by developing a method of navigating using simple GPS, Google map data and a variety of sensors. ““We were realizing how limited today’s self-driving cars are in terms of where they can actually drive,” Teddy Ort, an MIT CSAIL graduate student who worked on the project, told Digital Trends. “Companies like Google only test in big cities where they’ve labeled the exact positions of things like lanes and stop signs. These same cars wouldn’t have success on roads that are unpaved, unlit, or unreliably marked. This is a problem.””
Certainly, work zones fall into this problem area. And MIT’s new system could address our issues, as well. In particular, by using Google map data this system would also pick up near real-time work zone data like we described in our 9/25/17 post. Then the sensors could identify traffic control devices and follow them safely through the work zone.
It is good to see that at least one organization understands the limits of current technology and is looking for a better, safer way for autonomous vehicles to find their way through rural roads and work zones.