This way you can avoid traffic jams or talk to your vehicle as if it were a person

Vehicles are about to get smarter, almost as smart as your smartphone. Brands are betting heavily on artificial intelligence (AI) to make the driving experience as pleasant as possible. Just this week we learned that Volkswagen announced the integration of ChatGPT for a large number of its models during CES in Las Vegas.

In practice, this new function will allow you to naturally control elements such as the navigator or air conditioning using your voice, in addition to providing information through questions that will be answered over time thanks to AI.

The driver will not need to do anything to enjoy the new features. When they are available, simply say ‘Hello IDA’ (IDA is Volkswagen’s virtual assistant) or press the corresponding button on the steering wheel. According to Volkswagen, ChatGPT does not have access to any vehicle data. What’s more, questions and answers are deleted immediately to ensure the highest level of data protection.

ChatGPT’s AI will enhance the vehicle user experience through technologies such as natural language processing and voice recognition, enabling seamless interaction between humans and machines. This allows drivers and passengers to control various functions with the help of voice commands.

AI is increasingly present in vehicles

But AI isn’t just a way to better communicate with the vehicle. This type of technology is key to enabling autonomous cars to drive themselves. And not only that, it makes them safer, better maintained and prevents traffic jams.

This week we learned that the California Department of Transportation, in collaboration with other state agencies, has asked technology companies by January 25 to propose generative AI tools that could help California reduce traffic and make it safer. Roads, especially for pedestrians, cyclists and scooters. drivers

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Various AI technologies such as machine learning (ML), natural language processing (NLP) and computer vision are helping to integrate artificial intelligence into the automotive industry, with the aim of improving the driver experience. In the automotive world these technologies automate many tasks like route planning, navigation, parking etc., while providing efficiency and safety.

From design and manufacturing to production and post-production, the integration of AI in the automotive industry is already underway, and there are many reasons why it could be the start of a revolution that makes driving a reality. A safer and more comfortable experience, as this report from consulting firm CMC Global highlights.

Greater safety and self-driving

With AI in automotive, which enables Advanced Driver Assistance Systems (ADAS), improving road safety has gone up a notch. Sensor fusion collects data from sensors such as cameras, RADAR, LiDAR, and ultrasonic sensors to create an understanding of the vehicle’s environment. For example, AI algorithms process sensor data and integrate it to detect objects and predict behavior, helping to make informed decisions in real time. The system activates advanced driver assistance features such as adaptive cruise control and pedestrian detection, resulting in an efficient driving experience.

That same AI allows autonomous vehicles to drive themselves. The car uses an integration of AI technology to understand the environment, make quick decisions and drive without human intervention. Call it a phenomenon or a revolution; AI in self-driving cars implies less human error, more orderly traffic flow and accessibility for those who cannot drive. Tesla Model 3, Volvo XC40, BMW iX and Lexus LS are some of the latest high-tech self-driving models.

Route planning and navigation are essential aspects of AI in the automotive industry. It includes components such as sensing, localization and avoiding traffic jams on direct optimal routes.

Predictive maintenance

Another use of AI in the automotive industry is called “predictive maintenance”. This aspect analyzes vehicle data from sensors and systems to identify patterns and anomalies. AI algorithms predict potential failures or breakdowns, which support prevention strategies.

A proactive approach with AI in the automotive industry helps optimize maintenance programs, reduce downtime and improve vehicle reliability, saving money for vehicle owners and manufacturers. For example, it allows drivers to receive timely warnings about potential technical hazards and contact manufacturers directly for maintenance instead of repair shops.

Of course, AI represents a major breakthrough for the automotive world: not only to improve driving, but to adjust costs for both manufacturers and drivers.

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