Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.
Artificial intelligence (AI) is the word on everyone's lips. But in the automotive industry today, many products and services being labeled as such are in fact reliant on a form of advanced analytics (evolving from conventional algorithms) that enables those features--for example, predictive maintenance in manufacturing. Theories of AI have existed since 1950. However, AI itself gained wider functional applicability only in the past few decades, with the rise of machine learning and deep learning. This has also been facilitated by advances such as improved algorithms and training methods, greater computing power, and the availability of large amounts of data in the cloud.
What if large groups of people could go beyond ridesharing – replacing traditional car ownership altogether through on-demand access to the cars they want: a convertible in the summer, an SUV for winter ski trips? What if driving skills could be computed as a score that warned us of bad drivers nearby – real time, on the road – also enabling navigation systems to offer safer alternative routes? Imagine if we could get rid of traffic jams and accidents altogether. Or how about if our cars picked up our groceries on their own -- and dropped us off at the airport like a self-contained limo service? What if automakers could subsidize our car purchases by working with telecommunications and other companies that want to capitalize on the lifetime revenue opportunity of a connected driver?
According to a study conducted by IBM, the automotive industry will offer a greater personalized driving experience by 2025. Of the executives surveyed by IBM, 80% felt that in-vehicle cognitive technologies will be a key component of how vehicles learn to provide a better experience for the occupants and optimize their own performance. On an average, people in the U.S spend 46 minutes in their car per day and GM is looking at ways to optimize this time spent through OnStar Go. The platform can also learn driver's preferences, apply machine learning and sift through data to recognize patterns in their decisions and habits. This information can create several marketing opportunities for GM's brand partners in this platform.
A few decades back Artificial Intelligence was tasked as the technology of the future. Fast forward to today, it is quickly transitioning from the much-hyped future technology to surrounding us and affecting our daily lives. Right from predicting the next word to type in a text message to taking Instagram perfect pictures, Artificial Intelligence is being fused into products and services that we use on a daily basis. In the Manufacturing sector, AI has been at the forefront in driving transformation. In particular, this technology has disrupted the car manufacturing industry spawning the era of self-driving cars.