The number of intelligence (A.I.) systems used in infotainment and advanced driver assistance systems (ADAS) systems will jump from 7 million in 2015 to 122 million by 2025, according to a new IHS Technology report.

IHS's Automotive Electronics Roadmap Report found the install rate of A.I.-based systems in new vehicles was just 8% in 2015, and the vast majority were focused on speech recognition, according to IHS. However, that number is forecast to rise to 109% in 2025, as there will be multiple A.I. 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," Luca De Ambroggi, IHS Technology's principal analyst for automotive semiconductors, said in a statement. "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."

A.I.-based systems will grow to become standard in new vehicles over the next five years -- especially in these two categories:

1. Infotainment human-machine interface, including speech recognition, gesture recognition (such as handwriting recognition), eye tracking and driver monitoring, virtual assistance and natural language interfaces.

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

As in-vehicle infotainment systems and ADAS increase in complexity, Ambroggi said, there is a growing need for hardware and software that support artificial intelligence and can emulate the functions of the human brain.

In ADAS, deep learning -- which mimics human neural networks -- presents several advantages over traditional algorithms; it is also a key milestone on the road to fully autonomous vehicles, IHS stated in its report.

"For example, deep learning allows detection and recognition of multiple objects, improves perception, reduces power consumption, supports object classification, enables recognition and prediction of actions, and will reduce development time of ADAS systems," IHS's report stated.

By 2020, Gartner predicts, there will be 250 million cars connected to each other and to the infrastructure around them via Wi-Fi systems that will allow vehicles to communicate with each other and the roadways.

As the amount of information being fed into IVI units or telematics systems grows, vehicles will be able to capture and share not only internal systems status and location data, but also changes in surroundings in real time, according to Gartner analyst Thilo Koslowski.

As in-vehicle infotainment systems and ADAS increase in complexity, Ambroggi said, there is a growing need for hardware and software that support artificial intelligence and can emulate the functions of the human brain.

In ADAS, deep learning -- which mimics human neural networks -- presents several advantages over traditional algorithms; it is also a key milestone on the road to fully autonomous vehicles, IHS stated in its report.

"For example, deep learning allows detection and recognition of multiple objects, improves perception, reduces power consumption, supports object classification, enables recognition and prediction of actions, and will reduce development time of ADAS systems," IHS's report stated.

By 2020, Gartner predicts, there will be 250 million cars connected to each other and to the infrastructure around them via Wi-Fi systems that will allow vehicles to communicate with each other and the roadways.

As the amount of information being fed into IVI units or telematics systems grows, vehicles will be able to capture and share not only internal systems status and location data, but also changes in surroundings in real time, according to Gartner analyst Thilo Koslowski.
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Source : http://www.computerworld.com/article/3083426/car-tech/heres-how-ai-is-about-to-make-your-car-really-smart.html

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