How to build a fully autonomous driving school
Gregory Smith, a professor of mechanical engineering at the University of New South Wales, has developed a new way of training students to drive.
Smith’s work builds on the technology that’s already on the market, which uses cameras and GPS to measure a student’s speed and position.
A camera captures the movement of the student and uses that to create a map of the classroom.
Smith has now released a demo app for iOS, Android and Windows Phone that allows students to take their own lessons from the app and train for a year on their own.
He says that the app has helped a lot of students to learn how to drive, even those who haven’t previously driven.
He adds that his own driving skills are improving rapidly, as the students have gotten more comfortable driving the car.
Smith is currently developing the technology for his own self-driving car, which he plans to use to teach students in his own class.
In a recent interview with IEEE Spectrum, Smith said that while he’s not sure if the car will ever make it to market, it’s a great opportunity for the future of the automotive industry.
He told IEEE Spectrum that it’s still too early to say whether autonomous driving will become a reality, but that he believes it’s the right time for autonomous driving.
The technology that makes it possible to teach self-drive training is based on computer vision, and the current versions of the software can only be used for testing purposes.
However, the current version of the training software that he’s using has already been used for autonomous testing, and he said that he’d like to be able to train his students to operate the cars in their own cars, so they could be ready to take on other cars at any time.
For now, the app is just available for Android, Windows Phone, and iOS devices, and Smith says that he’ll soon be releasing it for Android and iOS as well.
If you want to learn more about self-learning, check out the video below:Image credits: Google Play/Gregory Smith