Robotic Car Comes in 2nd on Track

Here we go again. Human bests, computer for now. Have we learned nothing Garry Kasparov? (He couldn't beat a computer, and now he's taking on Vladimir Putin. Good luck to him.)

The story is this: A robotic car developed at Stanford's Center for Automotive Research (which has the handy acronym of CARS) just lost out to a human-driven car in a test at the aptly named Thunderhill Raceway (which sounds like it belongs in a Bond movie anyway). The three-mile course had its share of twists and turns, 15 of them, in fact, ——and the guy driving the other car undoubtedly had lots of practice on the course, so the humans probably stacked the deck.

The result was that the human won, finishing in slightly less time than the robotic car. The victim of human deck-stacking this time around was Shelley, an autonomous vehicle kitted out quite proudly and loudly with a bevy of sensors that transmit road position, tire grip, and all manner of other necessary information to the computer-in-charge, so the car can effectively make real-time, split decisions about how to move the wheel and how much to stomp on the brake and things like that.

The stated goal was to improve on the utility of computer-driving cars. That's the idea, really. It wasn't about who won the race, or so the scientists say. After all, as with Deep Blue, it's only a matter of time until the computers win the race.

The race was run on Thunderhill Raceway in California between an Audi TTS that can drive itself and a racing car driver familiar with the circuit.

The human driver completed a lap around the circuit a few seconds faster than the robotic car.

The race was part of research to develop control systems that will help to make domestic cars more autonomous.