Vehicles will soon become smarter, almost as smart as your smartphone. Brands are banking on artificial intelligence (AI) to make the driving experience as enjoyable as possible. Just this week we learned that Volkswagen announced during CES in Las Vegas that it will integrate ChatGPT for a large number of its models.
In practice, this new feature will allow you to naturally control elements such as your navigation or air conditioning using your voice, as well as provide information through questions that will be answered over time thanks to artificial intelligence.
The driver does not have to do anything at all 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. Moreover, questions and answers are immediately deleted to ensure the highest possible level of data protection.
ChatGPT AI will improve the usability of vehicles with technologies such as natural language processing and voice recognition that enable seamless interactions between humans and machines. This allows drivers and passengers to control various functions using voice commands.
Artificial intelligence is increasingly present in vehicles
But AI is not just a way to better interact with your car. This type of technology is key to enabling self-driving cars to drive themselves. Not only that, but it also makes them safer, better to maintain and prevents traffic jams.
This week we learned that the California Department of Transportation, in collaboration with other state agencies, has asked tech companies to offer generative artificial intelligence tools by January 25 that can help California reduce traffic and make it safer. drivers.
Various artificial intelligence technologies such as machine learning (ML), natural language processing (NLP) and computer vision are helping to integrate artificial intelligence into the automotive industry to improve the driver experience. These technologies in the automotive world automate many tasks such as route planning, navigation, parking, etc. while ensuring efficiency and safety.
From design and manufacturing to manufacturing and post-production, the integration of AI in the automotive industry is already underway, and there are many reasons why this could be the start of a revolution that makes driving a reality. is highlighted in this report from consultancy CMC Global.
Increased safety and self-driving
Thanks to artificial intelligence in the automotive industry, which enables the use of advanced driver assistance systems (ADAS), improving road safety has reached a new level. Sensor fusion collects data from sensors such as cameras, radar, lidar and ultrasonic sensors to better understand the vehicle’s environment. For example, artificial intelligence algorithms process sensor data and integrate it to detect objects and predict behavior, helping to make informed decisions in real time. These systems activate advanced driver assistance features such as adaptive cruise control and pedestrian detection to ensure efficient driving.
The same AI allows autonomous vehicles to drive themselves. These cars use the integration of artificial intelligence technologies to understand the environment, make quick decisions and drive without human intervention. Call it a phenomenon or a revolution; AI in self-driving cars points to fewer human errors, better traffic flow, and accessibility for people who can’t 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 important aspects of AI in the automotive industry. It includes components such as perception, localization and congestion avoidance to select optimal routes.
Another application of AI in the automotive industry is so-called “predictive maintenance.” This aspect analyzes vehicle data from sensors and systems to identify patterns and anomalies. Artificial intelligence algorithms predict potential failures or breakdowns, supporting prevention strategies.
A proactive approach using AI in the automotive industry helps optimize maintenance programs, minimize downtime and improve vehicle reliability, saving vehicle owners and manufacturers money. For example, it allows drivers to receive timely alerts about potential technical risks and seek technical service directly from manufacturers rather than repair shops.
Of course, AI represents a huge advancement for the automotive world: not only to improve driving, but also to adjust costs for both manufacturers and drivers.
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