Man edges out robot car driver on race track
- L-G Jung functioning as if there is President's Rule in Delhi: Sisodia
- Suicide car bomb kills at least 6, injures 9 in Kabul
- VIDEO: Teased by bodyguard, Agra woman smashes SP leader's Mercedes
- Amid Delhi Chief Secy row, at least dozen govt officers ready to leave city
- Modi govt calls for 'fitting' commemoration of Rajiv Gandhi death anniversary
A race between a robot driven autonomous vehicle and a human driver has ended with a narrow win for the man.
The human driver completed a lap around the circuit a few seconds faster than the robotic car.
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 BBC reported.
Part of a research to develop control systems that will help to make domestic vehicles more autonomous, the robot car has been developed by researchers at the Centre for Automotive Research at Stanford University (Cars).
The autonomous vehicle 'Shelley' is fitted with sensors that work out its position on the road, feed back information about the grip of its tyres and help it plot the best route around the circuit.
Thunderhill was chosen because its 15 turns present the car's control systems with a wide variety of challenges, Prof Chris Gerdes, head of the Cars Lab at Stanford, said.
Some corners can be taken at high speed, some are chicanes, others are sharp and come at the end of long straights down which the car hit a top speed of 185 kph.
Once familiar with the three-mile circuit the car was raced against one of Thunderhill's staff who was very familiar with the track and logged a slightly faster time.
"What human drivers do consistently well is feel out the limits of the car and push it just a little bit further and that is where they have an advantage," said Gerdes.
The follow-up work had been done to record what the best human drivers did with the car's brakes, steering and throttle as they drove so this could be incorporated into the control systems the Stanford team is developing, he added.