Posted February 05, 2018 12:03:37By now, most people have been familiar with the “trillion dollar truck” that Tesla is developing.
But a new study published in the Journal of the American Chemical Society by researchers at the University of Wisconsin–Madison and the University at Buffalo is taking a different look at the truck’s potential to become the next billion-dollar vehicle.
“A truck could easily become the most expensive vehicle in the world in the next three to five years,” says Dr. Brian D. Fung, an associate professor in the UW–Madison Department of Mechanical Engineering.
“We’re starting to see the first truck with a fully autonomous system that can navigate the highway autonomously.”
For a truck to become a billion-dollars-and-more-expensive vehicle, the company would need to achieve significant breakthroughs in the manufacturing process and other areas of its business.
For example, the truck company would also need to increase the number of people working on its autonomous system to reach an initial mass of 20,000.
But if the truck can achieve these levels of efficiency and mass production, it could become the vehicle of choice for autonomous driving in 2040.
The truck company is aiming to create an autonomous truck that is able to drive on its own without human intervention, as well as autonomously negotiate the road and pass other vehicles.
“It’s the first time we’ve been able to demonstrate this kind of autonomy, and it’s a great milestone in the development of a fully self-driving truck,” says Fung.
“This will fundamentally change how trucks are built.”
The autonomous truck project is part of the UW’s research program on advanced driverless technology, and the work will also be supported by the Federal Highway Administration (FHWA).
“The truck could be the biggest leap forward for autonomous trucks in decades,” says Jana S. Schleifer, a UW–Milwaukee assistant professor of mechanical engineering and a member of the team.
“It would allow the truck to operate in dangerous, unpredictable conditions, and to avoid potentially fatal collisions.”
The truck’s “autonomous driving” capabilities are based on a set of sensors that are located in the truck, along with cameras that can be mounted on the outside of the vehicle.
The sensors detect the movement of a vehicle approaching from the front, along the side, and in the back, and if they detect an approaching vehicle they turn off the driver’s blind spot.
“Autonomous driving is a huge opportunity for the truck industry,” says Schlefer.
“If you have a system that’s reliable, safe, and cheap, you’re going to have a ton of trucks.”
The driverless truck is equipped with cameras and other sensors that allow it to see objects moving at high speed, as the truck passes other vehicles and pedestrians, as it passes through intersections, and even in the intersection itself.
The truck also uses advanced cameras to take images of itself.
When the truck turns on its driver’s headlight, it turns on the cameras in the front of the truck and turns off the sensors on the back of the car.
The autonomous truck can also detect the front-facing cameras and adjust the lights accordingly, in order to make the intersection safer.
The trucks development is also being assisted by a new class of sensors, which are called “driver-assistable” sensors.
These sensors detect an obstacle or obstacle course and then automatically detect whether the obstacle is on or not.
If the obstacle can be cleared, the sensors automatically turn off, so that the truck driver doesn’t have to look down at the road for an obstacle.
“You could imagine a driverless car driving itself,” says S. Scott Bielawski, a doctoral student in the Fung lab.
“There’s no need to have someone looking at a mirror.”
The UW-Milwaukee team developed these sensors, called “traffic cameras,” in collaboration with other UW professors.
The cameras detect whether a vehicle is coming at the front or the back.
The technology works by detecting when the vehicle is moving along a road and determining if the road is clear enough for the vehicle to avoid an obstacle without looking.
This technology was originally developed for a project that uses an autonomous car.
“The problem is, these cameras are not very accurate,” says Bielawksi.
“In order to get to a safe intersection, we would have to have an accurate, high-resolution camera, but we only have about 10,000 of them.”
To create a “trafficking camera,” the team used the existing sensors on existing trucks, such as those that were used in the 2014 World Rally Championship.
The UW-Madison team used a “Traffic Camera” from a truck that had been sold by Toyota.
The “Traffishing Camera” uses cameras to detect a vehicle that is traveling at high speeds, then automatically turns off its driver.
“They were able to take advantage of a