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Testing Driverless Cars in Snowy Winter Weather - Check!

Jennifer van der Kleut

It’s an announcement industry followers have been waiting for.

Finally, a company that is heavily invested in autonomous and connected-car technology is putting it to the test in extreme weather.

Ford Motor Co., together with the University of Michigan, announced this week that the partners have been testing the technology in snowy, icy winter weather over the past month, and will continue.

As Forbes points out, one of the factors that makes Michigan an ideal location for testing autonomous cars is the widely varying weather from season to season-that and, of course, the fact that the University has Mcity, its 32-acre testing ground with a fake cityscape, built specifically for testing autonomous and connected-car technology.

One burning question that industry professionals have long been asking is how well autonomous car technology would fare in extreme weather when rain, snow or ice might obstruct cameras and sensors. As WIRED puts it, “Radar and LIDAR do most of the work looking for other cars, pedestrians, and other obstacles, while cameras typically read street signs and lane markers.”

If those systems are obstructed, one could find himself in a dangerous situation. This is why many are eager to hear how Ford’s tests are going.

Jim McBride, Ford’s head of autonomous research, told WIRED that Ford creates a high-fidelity, 3D map of the area its test car is going to travel before a test drive. This form of “self-locating” helps its cars compensate in inclement weather conditions.

According to McBride, “Those maps include details like the exact position of the curbs and lane lines, trees and signs, along with local speed limits and other relevant rules. The more a car knows about an area, the more it can focus its sensors and computing power on detecting temporary obstacles—like people and other vehicles—in real time.”

News like this sheds light on why high-profile deals and partnerships with mapping and navigation companies like TomTom and Nokia’s HERE are such big business right now, and why industry analysts think Google’s acquisition of traffic tracking app Waze a few years ago will prove to be a big boon in the driverless race.

All in all, McBride told WIRED he is very confident Ford’s tests in snow and ice will go well.

“We’re able to drive perfectly well in snow,” he said.

bmw-i-vision-future-interaction-03

BMW’s New Concept Car Has 3 Modes: Manual Drive, Assist Mode and Autonomous Mode

Here’s one of the coolest cars unveiled at CES 2016: BMW’s new concept car, the iVision Future Interaction.

Excitingly, the car has three modes: Manual Drive, in which the human driver controls the car like any normal car; Assist Mode, which has partially autonomous features; and Auto Mode, which BMW describes as “highly automated driving.”

The car seats two, and has a number of cool features as welBMW-iVision-Future-Interaction-concept-car-2l as the noticeable lack of certain expected features:

  • No Rearview Mirrors: Side mirrors have been replaced by a multi-camera system that BMW says cover larger viewing angles and “eliminate dangerous blind spots.” The typical in-car rearview mirror has been replaced with a 21-inch display screen that show feeds of what the multiple cameras are picking up.
  • Empty Dashboard: The in-car dashboard is practically empty, because they say the 21-inch display screen has every control you need-and can be managed by voice control, touch, or even hand gesture.
  • Gesture-Controlled Parking: Tech Insider says the driver can “wave a hand” to indicate when they want the car to pull in or out of a parking space.
  • No Doors: Noticeably, the two-seater car has no side doors and a sleek design.

There is no word on whether BMW actually plans to mass-market this car anytime in the future, however.

Read more about the iVision Future Interaction and see concept illustrations on Tech Insider.

That wasn’t the only unveiling BMW did at CES — replacing mirrors with cameras is a big passion for BMW currently. They also unveiled a mirrorless i8 concept car. See more about that on CNNMoney.

Stay tuned to DriverlessTransportation.com for more news out of CES 2016!

What do you think of the iVision Future Interaction concept car? Tell us in the comments.

An illustration of Localizing Ground-Penetrating Radar (LGPR) from MIT.

MIT’s Localizing Ground-Penetrating Radar Could Be the Solution to Mapping and Sensing Challenges Facing Autonomous Vehicle Technology

Jennifer van der Kleut

Researchers at the Massachusetts Institute of Technology think they have a viable solution to one of the biggest obstacles facing autonomous driving technology.

Mapping and GPS technology is a crucial element for driverless transportation technology. There are millions of miles of roads across the globe - how do we map them all, so that our driverless car always knows how to get us to our destination?

With construction and development constantly changing the face of our cities and roads, updates will also constantly be needed. Plus, adverse weather conditions such as heavy rain, snow and fog can blur lines separating lanes and block sensors and cameras.

“Most [Autonomous Ground Vehicle] sensors cannot determine the vehicle’s location [in] adverse conditions,” MIT researchers wrote in a report released in November of last year that is making the rounds on the Internet again this week.

MIT’s Lincoln Laboratory has developed localizing, ground-penetrating radar (LGPR) in answer to those challenges.

LGPR utilizes a sensor that provides real-time estimates of a vehicle’s location even in challenging weather and road conditions.

“LGPR uses very high-frequency radar reflections of underground features to generate baseline maps and then matches current [ground-penetrating radar] to the baseline maps to predict a vehicle’s location,” MIT’s report explains. “The LGPR uses relatively deep subsurface features as points of reference because they are inherently stable and less susceptible to erosion or damage over time.”

The very high-frequency radio waves can penetrate all kinds of weather, from snow to heavy rain to fog, they added.

Read more about this technology from MIT here.