Every year, more than 30,000 people are killed in motor vehicle accidents in the US, and many many more are injured. Humans, in general, aren’t great drivers. Until dependable self-driving cars make their way into garages and driveways across the country, there is still a great amount of work that can be done to improve the safety of automobiles, and the best hope on the horizon is Vehicle to Vehicle communications (V2V). We keep hearing this technology mentioned in news stories, but the underlying technology is almost never discussed. So I decided to take a look at what hardware we can expect in early V2V, and the features you can expect to see when your car begins to build a social network with the others around it.
Humanity has taken one step closer to Skynet becoming fully aware. [Ahmed], [Muhammad], [Salman], and [Suleman] have created a vehicle that can “chase” another vehicle as part of their senior design project. Now it’s just a matter of time before the machines take over.
The project itself is based on a gasoline-powered quad bike that the students first converted to electric for the sake of their project. It uses a single webcam to get information about its surroundings. This is a plus because it frees the robot from needing a stereoscopic camera or any other complicated equipment like a radar or laser rangefinder. With this information, it can follow a lead vehicle without getting any other telemetry.
This project is interesting because it could potentially allow for large convoys with only one human operator at the front. Once self-driving cars become more mainstream, this could potentially save a lot of costs as well if only the vehicle in the front needs the self-driving equipment, while the vehicles behind would be able to operate with much less hardware. Either way, we love seeing senior design projects that have great real-world applications!
If you’ve ever wanted your own self-driving car, this is your chance. [Sebastian Thrun], co-lecturer (along with the great [Peter Norvig]) of the Stanford AI class is opening up a new class that will teach everyone who enrolls how to program a self-driving car in seven weeks.
The robotic car class is being taught alongside a CS 101 “intro to programming” course. If you don’t know the difference between an interpreter and a compiler, this is the class for you. You’ll learn how to make a search engine from scratch in seven weeks. The “Building a Search Engine” class is taught by [Thrun] and [David Evans], a professor from the University of Virginia. The driverless car course is taught solely by [Thrun], who helped win the 2005 DARPA Grand Challenge with his robot car.
In case you’re wondering if this is going to be another one-time deal like the online AI class, don’t worry. [Thrun] resigned as a tenured professor at Stanford to concentrate on teaching over the Internet. He’s still staying at Stanford as an associate professor but now he’s spending his time on his online university, Udacity. It looks like he might have his hands full with his new project; so far, classes on the theory of computation, operating systems, distributed systems, and computer security are all planned for 2012.