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The ethical dilemma of self-driving cars - Patrick Lin
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Hardware illustration. Car manually driven. Waymo began as the Google self-driving car project in Waymo Driver. We're designing the Waymo Driver, our autonomous technology, to give people a new kind of freedom — to go where they want, when they want, while making the frustrations and concerns with driving a thing of the past. Explore the Waymo Driver. These combine to give the car the highly accurate data needed to operate safely. GPS data, for example, is not accurate enough to keep the car on the road, let alone in the correct lane.
For example, the Google car can successfully identify a bike and understand that if the cyclist extends an arm, they intend to make a manoeuvre. The car then knows to slow down and give the bike enough space to operate safely. Four US states have passed laws allowing driverless cars on the road, and Google has taken full advantage, testing its car on motorways and suburban streets.
Steve Mahan, a California resident who is blind, was involved in a showcase test drive , which saw the car chauffeur him from his house around town, including a visit to a drive-through restaurant. This looks for nearby hazards like pedestrians, cyclists and other motorists, as well as reading road signs and detecting traffic lights. Speaking of other motorists, bumper-mounted radar, already used in intelligent cruise control, tracks other vehicles in front of and behind the car. Using these arrays, the Google Car can read the road like a human, but these sensors come with their own limitations. Autonomous cars simply replace the human eye with a camera, leaving them vulnerable to extreme sunlight, weather or even defective traffic lights.
In current autonomous cars, the way this selection of pixels is analysed could be the difference between a safe journey and death. Since Google unveiled it s self-driving car, it has spun off this part of the business into a separate arm under the name Waymo. Many believe a connection between cars and traffic infrastructure is needed to combat this problem. How can we provide this information in every car at every red light? There has to be a solution for that for if you want to enable autonomous driving in areas with traffic lights.
The German automotive industry is one of the most powerful advocates of a connected car-traffic infrastructure. A joint statement released by the consortium reads:. For the automotive industry, this is the basis for new assistance systems and ultimately fully autonomous driving. Extremely precise digital maps will be used in combination with real-time vehicle data in order to increase road safety and to facilitate innovative new products and services. To become a viable solution, these systems will be required in every vehicle, including those still used by humans.