How AI transforms the Automotive industry

Artificial intelligence is changing every aspect of the automotive industry. In today's world, it is impossible to imagine our lives without public transportation and cars. The automotive industry is no exception to innovations and trends. Industry giants such as Kia, Nissan, Mercedes, and Tesla have reshaped the automotive industry through machine learning.

Explore six functional areas of the automotive industry and how AI is transforming them.


1- Research and Development


This is one of the most important technologies for applying artificial intelligence to automobiles. Current R&D is focused on faster and more economical designs. For example, General Motors is exploring feasibility through prototyping machine learning. They are working on a project called “Dreamcatcher System”.

Likewise, Continental is developing a virtual simulation program that can generate vehicle test data for advanced driver assistance systems (ADAS).

 

2 - Customer/Driver Experience


Implementing artificial intelligence in the automotive industry also includes driver and customer experience. Major automakers are working on connected car experiences. For example, the Toyota Hybrid offers both navigation and voice assistance.

The voice assistance system includes access instructions, an audio system and a navigation system. Hybrid navigation, on the other hand, includes an onboard navigation system and cloud-based map data.


3- Supply chain


The use of AI in the automotive sector extends to supply chain operations, particularly quality management. Audi, for example, is exploring applying AI to the automotive industry through image recognition software, smart cameras, and quality control.

The system generates millions of images and detects the tiniest defects or cracks. AI's quality control accuracy is determined by how it detects defects at the pixel level.


4- Manufacturing and Operations


Automobile companies have long used robots to weld, paint, assemble, sort, move and assemble cars. AI has significantly reduced human labour in automotive manufacturing.


Artificial intelligence in car manufacturing has become critical to detecting component failures and resulting downtime. For example, General Motors built an image classification tool to prevent component failures in about 7,000 robots.


5- Mobility services


Companies like Lyft and Uber are using predictive analytics to adjust prices in real time based on different geographic locations. The use of AI in automobiles enables better fleet management and last-mile delivery.

Michelin is leading the field by creating tire monitoring systems that monitor tire wear and performance in real time. The synergy between AI and automobiles has reduced parcel loading times for Mercedes Benz by 15%!


6- Marketing/Sales


Like all other industries, the automotive industry has become very competitive in recent years. Therefore, personalization is important to win the hearts of your customers. The role of AI in the automotive industry has become a key tool in achieving this competitive advantage.

A good example is Volkswagen. The company is using machine learning for growth forecasting and sales planning.


Self-driving car


One of the areas where AI is most widely used in the automotive industry is autonomous vehicle technology. Companies like Google Waymo, Tesla, and NVIDIA are investing significant resources into this technology.

Gaining consumer trust on safety considerations and legitimising fully autonomous vehicles is one of the most difficult challenges for artificial intelligence and automobiles. A key feature of self-driving cars is the use of computer vision to detect pedestrians, streetlights, and objects.


Move forward

The use of artificial intelligence in automotive applications is expected to also include sustainability aspects in the future. AI will be used in future automobile manufacturing to monitor waste generation, control quality, and improve recyclability.


The automotive industry's use of AI in the future


AI-enabled vehicles are redefining the way we view the automotive industry. Autopilot works actively with smart parking, steering, acceleration, and braking in Tesla vehicles. Some of BMW's latest models feature AI-based voice assistants to improve driver comfort and safety. Audi uses computer vision to inspect the sheet metal of its vehicles, so even small cracks can be detected during production. Additionally, Mercedes-Benz is building level 4/5 autonomous vehicles with the help of Bosch. Other companies are also actively adopting AI technologies to support forward-looking action plans and adapt to AI trends in the automotive market.


Given the ever-increasing number of automakers adopting the autonomous driving trend, we can predict that self-driving cars will take precedence over manual driving, and that 90% of vehicles will have AI-enabled systems by the end of 2010. . From manufacturing and design to service, maintenance, sales and marketing, the future of AI in the automotive industry is impactful. This serves to make vehicles smarter, safer and more efficient.

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