Author: Admin Admin
After the recent success of Google’s autonomous car, a team from Oxford University unveiled an autonomous car being developed under RobotCar project. Professor Paul Newman and his team modified Nissan LEAF by installing a computer in its boot. Unlike Google’s autonomous car this Nissan LEAF does not rely on GPS and expensive LIDAR sensor. Instead its computer uses scene recognition method for collecting the real time information by using Lasers and cameras. Professor Newman claims that all these extra equipment will cost a little more than $150.
A system like this uses two different types of data - static and dynamic. Static data is the information about the route which does not change over a period of time such as the sign boards and the turns, while the dynamic data consists of information which may/may not change such as the ongoing traffic on the road.
One potential drawback of this technology is that, the autonomous feature will work only for the routes for which a sensor map is available. For this, first the car needs to be driven manually on the route. But this can be overcome by making a central repository of the sensor maps from where the user can download the sensor map of a particular route. Because of its simplicity and affordability this technology is expected to help the old and disabled to move around the city in their vehicles.