DAVID BELO
Driverless Tech Could Mean Faster Auto Races
By Drake Bennett, April 11, 2016
David Belo trained as a mechanical engineer and he’s worked on cars for most of his career. He’s not a typical gearhead, though. He’s also studied computer science and physics, and his specialty is in the field of simulation: figuring out how to virtually reproduce the real world, in all its complexity and unpredictability, with enough realism that drivers can practice split-second decisions and engineers can test precision parts under high stress. Belo worked at the General Motors proving grounds before being hired by McLaren, a pioneer in the use of racing simulators—and in figuring out how to apply simulation technology outside the world of auto racing.
Q: McLAREN’S HERITAGE IS IN RACING—IT’S HARD TO IMAGINE THAT WITHOUT DRIVERS.
A: Yeah, the driver is the big part of the show, and in many respects it’s what people go to see races for. On the other hand, it’s also the technical challenge—one of the biggest you could aspire to solve as an engineer. The spectacle is just as much about the fierceness of competition between the drivers as it is about the marvel of what teams are coming out with this year. I think there is a lot of excitement for autonomous driving within Formula One companies for the same reason. Something that has been traditionally such a hard problem—driving—is now within our reach with these interesting and complex algorithms. At the same time, we don’t design without the human in the loop.
Q: WHAT OTHER ADVANTAGES ARE THERE TO DOING THAT?
A: Whether it’s Tesla or GM or Porsche or a racing company, you have to take into account that you’re designing this machine for a human to exploit it. I think what makes us and some of the other companies working in this field interesting is we’re starting to use vehicle simulators to understand how the brain is interpreting a lot of the signals the driver needs to interpret in order to react to what’s happening in the car and change the control of the car. That work is just as important as developing the engine to produce three more horsepower. The work interacts to achieve a lap time that’s lower or to get a passenger car from point A to point B with a higher likelihood of no accidents.
Q: WHAT ELSE DOES McLAREN BRING TO THE PROBLEM OF DRIVERLESS CAR DESIGN?
A: When you’re not driving, you’re a passive element. And this is another elusive field in that we don’t actually know how the human body reacts to different sensory inputs and physical inputs. As you’re being shaken by the vehicle and as you’re visually perceiving what’s around you and audibly perceiving what’s around you, that might set off some sort of nausea or other lack of comfort that is very hard to understand as an engineer. There are not a lot of virtual testing tools and virtual algorithms to predict how comfortable or uncomfortable this is.
At McLaren we typically deal with this in racing with a vehicle simulator. We’re relying on human drivers to tell us that it felt comfortable or uncomfortable or nauseating or unsettling or confidence-inspiring. We’re not relying on algorithms.
Q: AND YOU CAN APPLY THAT TO DRIVERLESS CARS?
A: We can simulate all of the sensory inputs basically to the human driver and to the human occupants.
There are vehicle design applications as well. So if you think about going from a single car to vehicle platoons, a cluster of cars, whether it’s on the highway or in a city, and they’re all autonomous. [By being electronically coupled, driverless cars could in theory drive much closer together than human drivers.]
So specifically in F1, for instance, aerodynamics is obviously a big thing. So imagine driving down the highway and you’re able to determine that there is a cluster of autonomous cars that are all going to the same region, and you can cluster them together, and you can make use of the fact that only the leading car is actually punching a hole through the air, and the other cars can reap the benefits of linking behind them.
If you can change the body of a car in a very specific way to just be able to gain a fraction of a percent, you’re now able to scale that gain across all the cars. We’re now going into territory where all these little gains will actually have big impacts.