Self-driving cars are driverless robotic vehicles, which are equipped with an autopilot system that is capable of driving from one point to another without input from a human operator. This technology is distinct from vehicles with a remote operator. Many self-driving cars are under research and prototype testing. Some proposed systems depend on infrastructure-based guidance systems (i.e. systems embedded in or near the road itself), while more advanced systems propose to simulate human perception and decision-making during steering of a car via advanced computer software linked to a range of sensors such as cameras, radar and GPS.

Advantages of Self-Driving Cars

  • Transporting loads in dangerous zones such as battlefields or disaster-zones.
  • Reducing the costs and inconvenience of employing drivers (for example for public transport or commercial vehicles),
  • Managing traffic flow to increase road capacity
  • Relieving vehicle occupants from driving and navigating chores, so allowing them to concentrate on other tasks or to take rest during their journeys,
  • Reducing directional steering and velocity errors and corrections implicit in manually controlled vehicles
    • To avoid accidents,
    • To accurately align vehicles with platforms to facilitate disabled access and cargo loading
    • To reduce lane width and safety margins (especially bus-lanes on narrow roads

Google Self-Driving Driverless Robotic Cars

Google Driverless Car is a project by Google that involves developing technology for driverless cars. The system combines information gathered from Google Street View with artificial intelligence software that combines input from video cameras inside the car, a LIDAR sensor on top of the vehicle, radar sensors on the front of the vehicle and a position sensor attached to one of the rear wheels that helps locate the car’s position on the map. As of 2010, Google has tested several vehicles equipped with the system, driving 1,000 miles (1,600 km) without any human intervention, in addition to 140,000 miles (230,000 km) with occasional human intervention. Google anticipates that the increased accuracy of its automated driving system could help reduce the number of traffic-related injuries and deaths, while using energy and space on roadways more efficiently.