“We Look Forward to Developing a Car that Avoiding any Accidents”

The researchers at the Stanford University Institute of Dynamics and Design are the Marta, an autonomous electric sports car named Marty, which is a modified version of the ‘Dullian’ (1981 DMC DeLorean) sports car that looks exactly like the flying car featured in the film Back to the Future. Successfully autonomous driving the obstacle course without intervention. Marty is the hero’s name.

Marty’s various driving skills include drifting (a technique in which the rear wheels slide sideways with surface friction and smoke when driving corners), zigzag, and turn on the 1km long obstacle course at Thunderhill Motorsports Stadium in San Francisco. Showed off. The researchers say Marty’s ability to turn is much faster than humans.

On that day, the car was driven by a software program installed on a laptop computer without the driver’s assistance. Do autonomous cars need to polish these tricks? According to the researchers, this particular driving technique is designed to increase the ability of autonomous vehicles to cope with dangerous or uncontrollable situations. For example, autonomous vehicles that have acquired this technology can be avoided in a flash even if a pedestrian appears unintentionally while driving.

“This project is about developing autonomous vehicles that can cope with urgent movements or slippery roads with ice or snow,” said Chris Gerd, who leads the research team. “We look forward to developing a car that does not endanger the car, thereby avoiding any accidents that Marty’s self-driving stunt began four years ago with his donut-shaped drift ability. The team then trained a wider range of skills, such as spinning and zigzag, to the point where the obstacles on either side of the course were raised to the perfect level. This autonomous car has a pair of GPS antennas on its roof. The device tracks the car’s position within 2.5 cm. The computer behind the car seat calculates the smoothest drift path in seconds after entering the course.

Dr. Jonathan Go, a member of the research team, said, “Drifting allowed us to approach extreme cases of driving physics.” “It will be easier to connect all the points in between.”