Artificial Intelligence Systems for Autonomous Driving On the Rise

July 26, 2016
As the complexity of in-vehicle infotainment systems and advanced driver assistance systems increases, there is a growing need for hardware and software solutions that support artificial intelligence.

As the complexity and penetration of in-vehicle infotainment systems and advanced driver assistance systems (ADAS) increases, there is a growing need for hardware and software solutions that support artificial intelligence, which uses electronics and software to emulate the functions of the human brain. In fact, unit shipments of artificial intelligence (AI) systems used in infotainment and ADAS systems are expected to rise from just 7 million in 2015 to 122 million by 2025, according to IHS Inc. The attach rate of AI-based systems in new vehicles was 8 percent in 2015, and the vast majority were focused on speech recognition. However, that number is forecast to rise to 109 percent in 2025, as there will be multiple AI systems of various types installed in many cars.

"An artificial-intelligence system continuously learns from experience and by its ability to discern and recognize its surroundings," said Luca De Ambroggi, principal analyst-automotive semiconductors, 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.

According to the latest IHS Automotive Electronics Roadmap Report, AI-based systems in automotive applications are relatively rare, but they will grow to become standard in new vehicles over the next five years -- especially in the following two categories:

Infotainment human-machine interface, including speech recognition, gesture recognition (including hand-writing recognition), eye tracking and driver monitoring, virtual assistance and natural language interfaces.

ADAS and autonomous vehicles, including camera-based machine vision systems, radar-based detection units, driver condition evaluation, and sensor fusion engine control units (ECU). 

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