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Cognitive Computing Shifts Into High Gear

Cognitive computing is not the future, it is the present. Read more to understand how cognitive computing is being effectively utilised across a wide spectrum of automotive applications.

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Last month, a milestone was achieved in the arena of self-driving automobiles. In the wee hours of October 20, 2016, an 18-wheeler tractor trailer pulled into Colorado Springs, USA, loaded with 50,000 frosty cans of Budweiser beer. This truck was driving itself, marking the first time that commercial cargo has been shipped by a self-driving vehicle. This is technology heading in the right direction.

The cognitive computing system is a decision-making technology that utilises deep learning from human driving patterns, their behaviour and understands the driving environments. A simple example would be assisting vehicles in changing lanes by identifying moving objects and the distance between them on a highway. 

Globally, cognitive computing is being effectively utilised across a wide spectrum of automotive applications. It has been introduced into automotive systems through a combination of hardware and software to mimic the working of the human brain. It can be a virtual assistant in infotainment systems providing a human-machine interface (HMI), gesture recognition, driver monitoring, advanced driver assistance systems (ADAS), camera-based machine vision systems, radar-based detection systems, and even health monitoring systems.

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

According to Michael Hirsh of Mobileye, “India’s road accident toll is among the world’s highest. There is growing awareness that this is a matter of national urgency. The time is ripe for large-scale adoption of ADAS in India.”

IBM Watson on Bluemix™ is delivering cognitive cloud computing solutions for vehicle data management, connected driving and live streaming services. Insights from the data gathered can be leveraged to offer safe and connected driving experiences and identify risky driving behaviour based on driving patterns. The focus is to deliver a better user experience and allow deep human interactions with vehicles.

IBM Bluemix also offers tailor-made APIs that have direct application in the driver-less automotive segment. 

India’s automobile industry is rapidly transforming due to consumer demands and safety regulations. In the near future, these connected automobiles will be trained to handle user behaviour and streamline driving experiences. Bluemix services are designed to deliver next-generation connected driving experiences. These services will enable automakers and infotainment suppliers to empower their solution offerings. Automobiles will leverage cognitive computing to make driving safer and more enjoyable.

Want to learn more about “How to make automobiles as smart as humans or even smarter”, meet us at IBM outthink tour.

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