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Artificial Intelligence for Vehicles Is Entering the Speed Lane

IHS Technology is projected that AI in cars will increase from 7 million shipped in 2015 to 122 million shipped in 2025. Experts weigh in.

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IHS Technology has announced that AI in new vehicles is projected to increase over 1700 percent by 2025. Car manufacturers shipped seven million AI systems in new cars throughout 2015, and that number is expected to be 122 million in 2025. AI systems are expected to be varied and perform multiple functions.

“An artificial-intelligence system continuously learns from experience and by its ability to discern and recognize its surroundings,” said Luca De Ambroggi, principal analyst at IHS Technology. “It learns, as human beings do, from real sounds, images, and other sensory inputs. The system recognizes the car’s environment and evaluates the contextual implications for the moving car.”

Areas of development include eye-tracking, driver monitoring, natural language interfaces, and speech and gesture recognition. These are dubbed as the "infotainment human-machine" interface, whereas Advanced Driver Assistance Systems (ADAS) involve sensors and detection and develop through deep learning, a type of machine learning that mimics the neural networks of the human brain.

IHS Technology said that deep learning "allows detection and recognition of multiple objects, improves perception, reduces power consumption, supports object classification, enables recognition and prediction of actions...."

Rather than acting as chauffers, the ADAS in vehicles will allow for greater safety and protection. A driver who has a driving habit that might be dangerous—a tendency to drift into another lane for instance—would receive warnings every time the behavior occurred. Gil Pratt, CEO of Toyota, said that the future AI systems would be more like "guardian angels," rather than systems that would completely control the vehicle.

"If you love to drive, the idea of a chauffeur is not fun," Pratt said. "Driver skills are ignored with a chauffeur. With guardian angel technology, you're augmenting human driving skills."

In early January 2016, Toyota's Research Institute announced plans for new artificial intelligence and robotics research, including collaborating with MIT and Stanford on projects. The announcement coincided with news that the Research Institute would be opening up offices near the campuses in Cambridge, Massachusetts, and Palo Alto, California.

Volkswagon recently announced that it would be pursuing research into self-driving vehicles and artificial intelligence, in addition to continued research into lower emissions and electric cars.

“The aim is to license a competitive self-driving system (SDS) developed in-house by the end of the decade,” Volkswagon CEO Matthias Muller said.

Lucas Mearian, writer for Computer World, writes that while there is an increased interest from car manufacturers to implement AI systems into vehicles, the vast majority of Americans do not want fully automated vehicles.

A 2016 survey conducted at the University of Michigan showed that just 16 percent of respondents wanted their vehicle to be fully autonomous. 46 percent of respondents said they wanted to retain full control while driving, while 39 percent prefer a partially self-driving vehicle.

Brandon Schoettle of the Transportation Research Insitute at the University of Michigan said that the viewpoints remained consistent from the previous year's study.

"Overall public opinion has been remarkably consistent over the two years that this survey has been conducted, despite the increased media coverage of self-driving vehicles," Schoettle said

Luca De Ambroggi at IHS Technology stated that research into AI has a long way to go and even after research has progressed, there are challenges.

"One of the major challenges, I suspect, will be the certification of AI," Ambroggi said. "Just as we certify a human driver [with a driving test], the [automotive] industry needs a set of standards or procedures they can use to certify AI—for safety."

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artificial intelligence,machine learning,automobiles,internet of things

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