University of Oxford Develops iPad Controlled RobotCar [Video]

The University of Oxford has unveiled RobotCar, a modified Nissan LEAF that uses an iPad user interface to drive itself. Lasers and cameras are subtly mounted around the vehicle to help it plan, control speed and avoid obstacles.

Safety
We always have an eye on safety. RobotCar constantly monitors the road ahead to look for pedestrians, cars or anything that could pose a danger. If an obstacle is detected the vehicle comes to a controlled stop and waits until the obstacle has moved out of the way. Once clear the car simply accelerates and continues its journey.


There are three computers onboard. The iPad, the LLC (Low Level Controller) and the MVC (Main Vehicle Computer). The iPad runs the user interface and demands constant attention from the LLC. If any of these computers disagree the driver will not be able to start autonomous driving. If at any point there is a problem when the car is in control the human driver is prompted to take control, if they fail to do so the car is automatically brought to a stop.

User Interface
The whole user experience is provided by an iPad which quickly guides the user through the few checks that are needed to induce autonomy. When it is safe to do so, the car offers the drive the chance to be driven automatically. Here is video showing that process. At any time the driver can take back control of the car by touching the brake - it's exactly like cruise control in an existing vehicle - only this time the car sees obstacles, controls speed and steering. It feels very natural.

Control and Sensing
We have modified the base Nissan LEAF systems to allow complete fly-by-wire control. Everything from the steering to the indicators can be manipulated by the main vehicle computer in the boot. RobotCar senses the world in two main ways. The first uses a pair of stereo cameras to assess the road and navigate, much like a human driver's eyes. The second is a little different and uses several lasers mounted around the vehicle. These sensors assess the 3D structure of world and also improve performance at night.

Take a look at the car in action below...


Read More [via Christian]