Buyers of European luxury cars are already choosing from a menu of advanced options. For example, for $1,350, people who purchase BMW’s 535i xDrive sedan in the United States can opt for a “driver assistance package” that includes radar to detect vehicles in the car’s blind spot. For another $2,600, BMW will install “night vision with pedestrian detection,” which uses a forward-facing infrared camera to spot people in the road.
Lasers, cameras, and other sensors are the most expensive part of autonomous driving systems. Some experimental self-driving cars are estimated to carry more than $200,000 worth of cameras and other gear. Those costs are also leading automakers toward a gradual approach that starts with sensor technologies and then extends capabilities to control driving tasks as well. In the high-end Mercedes-Benz CL, for instance, cameras not only tell a driver when he or she is leaving the lane but actually help the vehicle steer itself back. Several automakers already sell cars with so-called adaptive cruise control that automatically applies the brakes during highway driving if traffic slows. Next, BMW plans to extend that idea in its upcoming i3 series of electric cars, whose traffic-jam feature will let the car accelerate, decelerate, and steer by itself at speeds of up to 25 miles per hour—as long as the driver leaves a hand on the wheel.
The market for “advanced driver assistance” technologies was $10 billion last year, according to New York’s ABI Research, but it projects that the figure will reach $130 billion by 2016.
Some experts, however, think the evolutionary approach could reach its limit in a few years. Stefan Solyom, an engineer at Volvo, based in Gothenburg, Sweden (but recently purchased by Chinese auto group Geely), warns that incremental thinking can take the industry only so far. “At some point,” he says, “we need to make a dramatic shift when the vehicle is able to take over fully automatic tasks.”
The reason, Solyom says, is that the biggest benefits of automation can’t be realized until a driver’s hands are off the wheel. Volvo this year demonstrated self-driving cars that can travel together in a highway convoy, something Solyom says could cut fuel consumption by 15 percent (the cars would brake less often and be able to draft one another). Automation could also eliminate many traffic accidents caused by human error, estimated to account for 80 percent of all crashes. Finally, not having to pay attention would free up countless hours for “drivers” to focus on other tasks, like reading a paper or responding to e-mail.
Automakers say crossing the technological inflection point to full automation will require significant legal changes. In many countries, laws require a human driver to be in control of motorized vehicles or be able to take over instantly. Another obstacle, say manufacturers, is uncertainty over whether they will be held liable for accidents involving driverless cars.
Sven Beiker, a BMW veteran who is now executive director of the Center for Automotive Research at Stanford University, says automated vehicles are likely to face public-relations problems. “We currently have, sadly enough, around 33,000 people killed in road accidents in the United States every year,” says Beiker. “Imagine we can bring it down to 10,000 with autonomous vehicles, which would be a huge success. Would the headlines read something like ‘Autonomous Vehicles Save 23,000 Lives’ or would it be ‘Robot Cars Kill 10,000 People’?”
According to the Accident Research of the German Association of Insurers (GDV), lane departure warning alone can prevent up to 15 per cent of road fatalities. Similarly, intersection assist can prevent up to 35 per cent of accidents in Germany.
The European Union’s Transport Policy aims to reduce road fatalities by 50 per cent by 2020
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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