AI in my car: how artificial intelligence is influencing the automotive industry

AI in my car: how artificial intelligence is influencing the automotive industry

Artificial intelligence in the automotive industry is currently a large-scale business. The analysis of Market Research Engine yielded that the share of AI and cloud services in the car sphere would reach $10.73 billion by 2024.

How will it impact drivers? What new features does the AI implementation bring to vehicles? Let us delve into the topic.

Driver assistance

When artificial intelligence in a car is mentioned, you first think of self-driving vehicles. Indeed, modern automobile manufacturers compete to create fully automated transport. Such attempts can be seen at BMW, Tesla, Nissan, Honda, General Motors, and a dozen of other famous (and less) companies. However, none of them managed to develop a vehicle that would pose no danger to people.

Although the world has not seen any successful steps in this area yet, attempts to produce a driverless car mean the shift in the industry. Sooner or later, the manufacturers will attain the goal mentioning this time as a nascent period of the transport revolution.

We are now more likely to develop various driver assistance systems. By monitoring dozens of sensors in a car, AI is capable of predicting dangerous situations.

For instance, a lane tracking system will alert drivers if they go over their row. A blind area monitoring system will alarm about the car on the side and prevent a clash. An automotive parking assistant will allow to attain ideal parallel parking based on the data of a video camera and a parking sensor.

Smart manufacturing

Artificial intelligence affects not only car behavior but also its construction. Large vehicle manufacturers such as General Motors, VAG, Nissan, etc have been introducing AI-powered robotic assembly lines for a while now.

They are not just manipulators performing the same algorithm without stopping. Robots have grown to be smart. For example, Kia Motors has introduced robots that can help human staff during manufacturing processes. The machine recognizes the person’s location and optimizes its movements not to touch anybody. In the event if it happens, the automated technology will freeze a dangerous maneuver.

AI as well shows great results at painting works. A machine vision aided robot identifies defects on details’ surface and informs the quality control department about it. The same practice is applied at Nissan factories.

Smart services

Artificial intelligence has also changed the car’s internal system by transforming it simultaneously into a computer and an entertainment center. Unlike simple sensors that send signals of a low battery level or insufficient oil pressure, AI opens up more opportunities. This technology controls dozens of internal systems and can detect a problem before it affects the auto.

Volkswagen and Microsoft are currently introducing the analogous system. In 2018, they announced the partnership that lies in the application of all the opportunities of cloud platforms Azure IoT and PowerBI in the cars of the German company. Due to these services, an extended version of telematics will be presented. Drivers would be able to undergo car maintenance before something gets broken.

What is more, marketers leverage cloud AI-based platforms to provide services they believe to be the best. For instance, artificial intelligence embedded in a car may track purchases. This would help generate further recommendations. AI monitors your playlist and can turn on your favorite music. In case of a low oil level, the technology will find the closest gas station. AI even lends itself perfectly to tracking your activity in social networks: it will notify you about an upcoming friend’s birthday.

Driver control

A driver’s state is one of the most important road safety criteria. That is the reason why carmakers and third-party startups develop AI-fueled systems that monitor human driver behavior.

For example, Israel-located startup eyeSight has used AI and machine learning as a base for a system that:

  • identifies a driver. Due to this, a stranger cannot start a car and drive.
  • adjusts car parameters to a driver. As soon as the car recognizes one of the drivers, the system adjusts mirrors, seats, and a steering wheel for more comfortable driving experience.
  • monitors a driver’s state. EyeSight continuously monitors a head posture and eye openness. If a driver nods, the system will give loud signals to stop and have a rest. Besides, the technology knows the exact location of a driver’s head in order to tear open an airbag in case of an accident, which mitigates the trauma risk.
  • recognizes gestures. The system understands a given group of gestures. They enable a driver to turn on a favorite song or call a friend without getting destructed from the road.

Conclusion

The world can now witness a revolution in the automobile industry. Vehicles are becoming intelligent, and the sphere is developing year after year. So, the car segment is expected to open up more new opportunities. Probably, we don’t have the slightest idea of what they will look like.

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