Artificial Intelligence in Automotive

Earlier this year, a group of experts from Simcenter, a Dutch think tank and consultancy, reviewed various AI initiatives in support of vehicle engineering. These findings show that the use of AI in the automotive sector is extremely broad. While some applications are limited to the automotive sector, many other areas benefit from its use. For example, in the area of design and development, AI applications can improve many aspects of the vehicle manufacturing process. These benefits are discussed below.

As more autonomous cars are being developed, AI will play a pivotal role in enabling these vehicles. It will help detect and correct dangerous driving behavior in real-time. Brands are increasingly handing over decisions to machines to reduce the risk of accidents and save lives. As a result, this technology will be vital to the future of automotive manufacturing. In the near future, AI-powered vehicles will be commonplace. Listed below are a few of the many applications of AI in automotive manufacturing.


AI can help automakers improve their supply chain. The automotive industry is notorious for having complex supply chains that are highly influenced by political factors. It is difficult to manage raw materials and inventory, and low-quality production leads to a high number of product recalls. AI automotive solutions are designed to solve many of these problems. AI can improve inventory tracking and management, increase system performance, and optimize maintenance planning. AI-driven systems can even help the auto industry lower its total annual maintenance costs.

In May 2019, AI technology was used in numerous ADAS functions. These included adaptive cruise control and multiple parking assist versions. Increasing amounts of AI technology will be used in new models, including L1 and L2. This technology is also being adopted in limited driving pilots (L2+) by various OEMs. While the terminology is not yet fully standardized, it’s important to remember that this technology isn’t an autopilot.

One example of AI in automotive is its ability to predict potential vehicle problems. The technology can monitor all of the sensors in a vehicle to detect problems before they happen. It can even analyze the driver’s heartbeat to prevent accidents. By using AI, it can also improve the insurance process and improve a driver’s safety. By monitoring a driver’s behavior, the car will be able to adapt settings and predict issues before they even happen.