Benefits and Use Cases of AI in the Automotive Industry

3 Remarkable Ways AI is Disrupting the Automotive Industry

AI For Cars: Examples of AI in the Auto Industry

Artificial intelligence has many advantages in the automotive industry, but its implementation is limited. AI algorithms adjust mirrors, seats and temperature based on a known user’s identity. Monitoring driver’s eyes and head positions help in identifying drowsiness as well as ensuring drivers are awake. In the meantime, the Mercedes Benz User Experience (MBUX) infotainment system remains one of the leaders in in-car voice assistance. Similar to Apple’s Siri, the AI assistant responds to “Hey, Mercedes” and reacts to simple voice commands such as “turn on the radio.” The technological capabilities of the sensors and data collection devices have a considerable impact on data quality.

AI For Cars: Examples of AI in the Auto Industry

What’s more, BMW’s crash test engineering team also managed to apply Monolith for predicting the force on a passenger’s tibia during a crash without conducting physical tests and way earlier in the development process. IoT sensors installed across a car can send data to a deep learning-powered system to analyze driver behavior. These insights, which include oil change intervals, brake usage, vehicle downtime after an accident, and fuel consumption, can be used when upgrading existing vehicles or creating new ones. The first step towards creating an AI-driven car is equipping it with a variety of sensors including cameras, radar systems, ultrasonic sensors and lidar (Light Detection And Ranging) sensors. These sensors work together to gather data about the vehicle’s surroundings such as road conditions, traffic signals and other vehicles on the road.

Making Better Drivers

Since the birth of science fiction, the automobile has been seen as the final frontier of technological innovation. However, when we look around at our cities today, cars can often seem stuck in the past. AI systems meticulously inspect and analyze finished products, identifying defects with pinpoint accuracy. This ensures the production of high-quality products while reducing the risk of faulty items reaching consumers.

To make each ride safe and enjoyable for every passenger in the vehicle, it’s crucial for the car to understand the passengers’ moods and states. The first level of driving automation includes driver support functions such as adaptive cruise control or park assist. This provides additional safety and comfort, which helps warm the consumers up to the idea of having AI in the co-pilot seat. With crashes also comes the question of liability, and lawmakers have yet to define who is liable when an autonomous car is involved in an accident. There are also serious concerns that the software used to operate autonomous vehicles can be hacked, and automotive companies are working to address downsides of self-driving technology could be that riding in a vehicle without a driver behind the steering wheel may be unnerving — at least at first.

How Much Can AI Improve Human Performance?

The learning process of AI systems can bring CFD, under controlled situations, to the vast majority of engineers. The outcome, shown in the figure as “prediction”, is virtually identical to the CFD simulation, shown as “Fields” in the figure. Working together, shape change and engineering prediction can produce AI-optimized aerodynamic shapes. OEMs need suppliers to meet functional requirements, such as durability, energy efficiency, etc.

AMD to display advanced AI engines, elevated in-vehicle experiences at CES 2024 – Autocar Professional

AMD to display advanced AI engines, elevated in-vehicle experiences at CES 2024.

Posted: Fri, 05 Jan 2024 02:23:34 GMT [source]

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