Several mechanical engineering students in Stanford Graduate School created a self-driving car which performed as fast as cars driven by professional drivers on tracks.

Students used machine-learning algorithms called neural network which functioned like human brain to analyze 200000 motion samples including snow and ice surface from regular cars and train them in order to test them out.

The result is pretty amazing which you can view below and they use Volkswagen GTI and Audi TTS as test subjects.

In the future, real car drivers can race aganist AI powered to enhance their skills. There may even be a race just for autonomous cars!

Instead of doing things on paper and writing countless homework and codes, we should also encourage our students to collaborate among different fields and take the products to the real life environment to test it out.

Hawkins, Andrew J. “Watch a Self-Driving Car Handle Hairpin Turns like a Race Car.” The Verge, The Verge, 31 Mar. 2019, www.theverge.com/2019/3/31/18285824/self-driving-car-race-car-stanford-research.