Toyota Research Institute and Stanford Engineering have achieved a groundbreaking feat by autonomously drifting two GR Supra in tandem.
Drifting is a high-octane ballet of man and machine. Competitors engage in a thrilling duel, where driver skill and vehicular prowess are tested to the limit in a head-to-head battle for supremacy.
The experiments automate a motorsports maneuver called “drifting,” in which a driver precisely controls a vehicle’s direction after breaking traction by spinning the rear tires—a skill that can be transferred to recovering from a slide on snow or ice. in tandem, the teams have more closely simulated dynamic conditions in which cars must respond quickly to other vehicles, pedestrians, and cyclists.
“The physics of drifting are actually similar to what a car might experience on snow or ice,” Chris Gerdes, professor of mechanical engineering and co-director of the Center for Automotive Research at Stanford , said. TRI focused on developing robust and stable control mechanisms for the lead car, allowing it to make repeatable, safe lead runs.Stanford Engineering developed AI vehicle models and algorithms that enable the chase car to adapt dynamically to the motion of the lead car so that it can drift alongside without colliding.
Both are equipped with computers and sensors that allow them to control their steering, throttle, and brakes while also sensing their motion . In NMPC, each vehicle starts with objectives, represented mathematically as rules or constraints that it must obey.
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