WORKING TOGETHERThe next steps in Korn’s evolutionary vision involve integration. First, in the very near future, discrete technologies like lane departure warning, smart cruise control and blind-spot detection will be integrated to give the driver 360 deg. vision of the entire tractor and trailer. That will help the driver reduce accidents but still leave them in full control of the vehicle. Fusing all that data with powerful processors and software would then allow automation of common control decisions, taking yet another major step toward the Level 3 self-driving truck, he believes. With such data fusion in place, technology can begin to develop trucks that can drive themselves for periods of time. According to Korn, the key is that such technology would have to outperform a human driver in terms of safety. Truck fatality numbers have dropped to below 1.5 for every million miles traveled, he points out. “Subtract the numbers that were not the truck driver’s fault, which would be the majority, and the technology would have to better that number before we could move to autonomous,” he says. “That’s quite a challenge.”Fusion of vision technologies is also seen by T.J. Thomas as the next key step in development of the self-driving truck. Thomas, director of marketing and customer solutions for the Control Group at Bendix Commercial Vehicle Systems, explains that the radar used in smart cruise control and blind-spot warning systems identifies the speed and distance of moving objects well, while the cameras used for lane detection can identify the things they see but aren’t ideal for judging relative speed. Using processors to fuse those two data streams is critical to making the reliable control decisions needed for even limited autonomous operation.Add in high-speed information from other vehicles on the road and perhaps the road infrastructure itself, and you face “what is probably the biggest challenge in terms of decision making for an autonomous vehicle—being able to gather and meld all that data,” says Jim Szudy, engineering manager for vehicle systems at Bendix. Since trucks carry systems from a variety of suppliers, there need to be standards and protocols for coordinating that information. “Making a left turn is easy, but what if there’s an emergency vehicle coming down the road, and the truck needs to make a decision?” Szudy says. “Some way to process all that data and use it to make the right decisions all the time is one of the biggest things still to be developed.”READY AND WAITINGWhile development work on information processing is still in the early stages, the systems needed to actually control a truck’s movements without driver input are already largely in production or will be within the next year or so. Roughly 75% of the technology needed to produce a Level 3 self-driving truck “is already in place,” according to Dennis Mooney, group vice president of global product development at Navistar. Like others involved in autonomous truck projects, he identifies the fusion of camera and radar information as the next step.“We’re already seeing it on some luxury cars,” Mooney says. “It lets us recognize objects that we couldn’t in the past, things like road signs and both moving and stationary objects. That keeps the vehicle from reacting to things it shouldn’t react to.”Another technology already working its way into production trucks is predictive abilities for control systems, according to Mooney. The latest automated mechanical transmissions not only keep the truck in the right gear, but by using 3D maps and other advanced location information can predict the shifts required for maximum fuel economy based on the terrain ahead. Autonomous systems that can anticipate road and traffic conditions would not only improve safety, but also make it possible to platoon trucks for better fuel economy, allowing a lead driver to perform steering, braking and other functions for trucks operating autonomously behind. “With lane detection warning already available, we’re now working on actively steering the truck,” says Bill Kahn, principal engineer and manager of advanced concepts at Peterbilt Trucks. “Some luxury automobiles already have that capability, and it’s just a few years out for trucks. Highway travel sets up well for lane-keeping technology, so with active steering you could probably accomplish 80% autonomous miles for an on-highway truck.”The accuracy of GPS and other location information is one issue still to be addressed, as is handling weather variables, Kahn explains, who prefers to classify such an active steering system as “autonomous assist.” In his view, “keeping the driver invested in driving the truck is important. They have the ability to monitor all the variables presented by the surroundings and varying truck specs.”And while current collision mitigation systems can detect and identify moving objects, the fusion of camera and radar systems will probably bring the ability to do the same for stationary ones within the next year, according to Kahn.
Is the self-driving truck this century’s flying car, or is it a true technological breakthrough that will transform the lives of drivers and the operations of fleets that employ them?Tough question, and the answer depends on who you ask. Lawyers and legislators will certainly have a say in the future of self-driving trucks and other vehicles on our roadways. And some thorny issues around drivers themselves will also need to be addressed if we’re ever going to realize the promise. But when it comes to the technology, we pretty much have the answer already.Before we get to that answer, though, we need some definition. As with most complex new technologies, there’s confusion over what’s actually meant by a self-driving truck, or what is more correctly called an autonomous truck by the engineering community.What we’re really talking about is a group of technologies that can be combined in a variety of ways to create levels of automation that relieve a driver of different responsibilities under a wide range of circumstances. The National Highway Traffic Safety Administration (NHTSA) formally divides vehicle automation into five levels. NHTSA’s Level 0 is no automation at all, with the auto or truck driver in complete and sole control of the vehicle at all times. Level 1 adds automation for specific control functions, with technologies such as electronic stability control or ABS. Level 2 extends that by combining two or more of those systems to take over control from the driver in specific situations. NHTSA’s example of a Level 2 vehicle is one where adaptive cruise control is combined with a lane sensing system to keep it centered in its lane and traveling at the same speed as the vehicle in front of it.THE NEXT LEVELWhat most of us would think of as a self-driving truck is classified as Level 3 by NHTSA, or what it calls “limited self-driving automation.” At Level 3, a driver could turn over full control of the vehicle under the right conditions for long periods of time. The vehicle monitors conditions around it and when necessary turns control back to the driver, who is always available. Trucks that could drive themselves on highways either alone or in a platoon would be considered Level 3 vehicles.A fully autonomous, or Level 4, vehicle would be able to initiate and complete an entire trip without any driver input beyond entering navigation waypoints or a destination. Once directed to a destination, the Level 4 truck could even operate without anyone aboard. From this perspective, the self-driving truck isn’t that always-in-the-future flying car, at least not at Level 3. In fact, most of the foundation technologies are already available in production trucks, or will be within the year. And the final pieces needed to create the Level 3 autonomous truck are already well along in the development stage. “What I see is evolution, not revolution,” says Alan Korn, director of advanced brake system integration for Meritor Wabco. Early stages in that evolution could be considered the introduction of active safety systems like stability control and ABS, technologies that make control decisions solely on vehicle conditions. The first truly “big stepping stone” in the evolution of a self-driving truck was the introduction of heavy-truck collision mitigation systems like Meritor Wabco’s OnGuard and Bendix’s Wingman “because they make control decisions based on both the vehicle and the environment,” says Korn. “Taking control [of the truck] based on what’s outside the truck was, for me, a very large step technology-wise.”