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Benefits of AI in Automotive Industry

neww writer

@newwwriter

March 27, 2023

Data Science & AI Community

414

The development of artificial intelligence continues to advance industries further into what frequently feels like science fiction film territory. It can be difficult to keep up with current trends or take stock of how AI impacts the industry, whether autonomous cars, taxis, lorries, or exponential growth in the IoT space.

In this blog post, we will look at five AI application cases in the automobile industry that will pique the interest of any tech enthusiast.

Below are the following points that pooves the advantage of AI in the Automotive industry:-

Autonomous Vehicles

Technology is advancing at such a rapid pace that tech companies are developing technology to facilitate the introduction of self-driving cars and trucks, something that was once science fiction in Hollywood movies.

The concept is no longer the stuff of Hollywood blockbusters but will soon be a very common application of artificial intelligence in the automotive industry!

Historically, car manufacturers and technology companies producing driverless technology had to follow strict guidelines, not to mention that a human had to be present and ready to take over in the event of an emergency.

California granted approval and new legislation earlier this year to allow driverless cars without a human operator!

The new rules and legislation took over three years to define and were frequently viewed as a major impediment by companies such as Alphabet, Uber, GM, and Ford.

States such as Arizona, Nevada, and Michigan are also beginning to allow self-driving cars with no human operator, with public acceptance gradually increasing.

We're on the verge of a driverless car revolution, which will only accelerate as technology iterates and improves.

Audi

One of the major challenges of driverless car technology identified by Google in 2012 was the "hand-off" problem.

In essence, how can technology alert and engage a human when a risk has been identified by a machine or artificial intelligence? With over 35,000 road traffic deaths in the United States alone each year, it's not something to take lightly.

That said, it's not an impossible task to complete, and it's exactly what German automaker Audi set out to do.

Audi spent years working with engineers and psychologists to "teach" a car how to drive safely; their main focus, in addition to basic road manoeuvres, was on the human-to-machine interface, which was responsible for the "hand-off."

The AI solution was built into the luxury A8 model and uses facial recognition cameras to monitor the driver's expression and detect if the steering wheel is touched.

If the car detects that the driver is not paying attention, it will "annoy" him or her with visual or audio cues. If those fail, the vehicle will tighten the seatbelt and pump the brakes!

Finally, if the human does not acknowledge the problem, the car will turn on the hazard lights, come to a stop, and unlock the doors.

While this hasn't yet reached the mainstream, it does provide other companies with a good blueprint for how humans can be alerted to take control of a driverless car. This technology will undoubtedly enter the mainstream and be found in a garage near you!

Connectivity and the Internet of Things (IoT)

Every day, millions of intelligent devices, ranging from Fit Bits to smartphones, connect to the internet. More than 250 million vehicles are expected to be connected to the internet in some capacity, but what does this mean for the automotive industry?

Manufacturers will need to collaborate with software development teams and other tech firms as automobiles rely more on technology, electrical components, and software.

All of this will aid in the successful integration of automobiles that rely on internet connectivity and IoT devices.

Cars will become increasingly vulnerable to malicious hackers as they become more connected. With this in mind, Cyber 2 Automotive Security (or C2a) made their patented Stamper technology available to car manufacturers worldwide through a royalty-free license.

Emotion detection and risk identification

Emotion detection in text streams or documents has been available for several years; many providers, including IBM, Microsoft, and Social Opinion, provide sentiment analysis APIs that can do this.

Detecting the mood or emotion of a human in real time is a completely different matter than detecting the mood or emotion of a document.

However, machines can now identify a human's mood by uploading images and processing them through machine learning algorithms, calculating probabilities of key emotions such as anger, joy, sadness, and so on.

Affectiva

Affectiva, an MIT Media Lab spinoff, has taken this further and recently launched a new service called "Automotive AI."

The service enables vehicle manufacturers to track a human driver's emotional response effectively and can detect emotions such as joy, surprise, fear, or anger.

The innovative solution employs standard RGB and (near) infrared cameras to calculate confidence scores based on signals such as eyeblinks per second and can detect yawning drowsiness, and other signs of driver fatigue.

The ability to detect such signals in human drivers, combined with AI-assisted vehicles, will help reduce the risk of road traffic accidents caused by fatigue. According to the company, Automotive AI could detect whether a driver was under the influence of drugs or alcohol.

Summarizing AI in the Automotive Industry

In this blog post, we examined five applications of AI in the automotive industry and their positive effects.

We've seen how the autonomous car revolution is underway and how future automobiles will be deeply integrated with the internet.

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