Press ESC to close

The Promising Future of AI in Automotives: Key Ways Technology is Set to Improve the Driver Experience 

Over the next two decades, artificial intelligence (AI) is predicted to enable autonomous vehicles to become mainstream, a paper from McKinsey and Company states. This isn’t the only advancement that the technology will propel, however, as the use and integration of AI technology is expected to transform elements of the industry that range from manufacturing to business support functions. With such changes “fast approaching,” it’s crucial to recognize how the tech will impact the consumer experience, from aspects like traffic to the vehicles themselves.

The possibilities of a more efficient drive

Traffic is often seen as a source of great frustration, though AI has shown potential in the creation of a new reality. One Forbes article points out the fact that AI has the power to analyze data in real time, as well as collect data from sources such as cameras, sensors, and GPS devices. This enables the technology to improve the flow of traffic in real time. “By adjusting traffic signals and rerouting vehicles, cities and highly congested areas are able to see immediate improvement and reduce bottlenecks and idle time,” writes Kathleen Walch. Los Angeles is just one U.S. city that is notorious for horrendous traffic conditions — California’s Department of Transportation, teamed up with other state agencies, asked that tech companies propose generative AI tools in January of 2024 in order to minimize traffic and make the roads safer for pedestrians, scooter riders, and cyclists alike.

The future of AI in the auto industry can also be found in electric vehicle (EV) charge optimization. One research paper published in Environmental Challenges highlights the advantages that AI algorithms can have. For example, it’s noted that via real-time monitoring and the analysis of elements like weather and traffic patterns, AI systems can help optimize energy usage for EV efficiency. While the widespread implementation of AI-driven optimization still requires further exploration, prospective EV owners can benefit from the technology that is already available. For example, hybrid EVs can meet the needs (and budgets) of many consumers, with electrified models that contribute to better fuel economy and enhanced drivability. Today’s hybrids also come with an array of high-tech features that include lane departure warning and lane keep assist. Reviews highlight the pros and cons of popular hybrid models, which can further help prospective EV owners determine which will meet their needs best.

Safety first

While AI enhancements can lead the way towards a more enjoyable experience out on the road, it also shows great promise in regard to safety. A blog post from IBM explores the advantages of artificial intelligence in vehicles in the future — for instance, it’s noted that the tech will be ‘integral’ to smart charges, in which algorithms are used to monitor aspects like battery health and optimal charge points. AI can also be used to improve safety, with integrations that include security monitoring and incident response. In the long run, the article notes that we can expect artificial intelligence to enable predictive maintenance, and aid in the integration with the smart grid.

The average car now comes with as many as 70 computer systems, and 150 electronic sensors, Forbes highlights. Among newer features include surround-view cameras, hands-free driving, and even WiFi. On board advanced driver assistance systems (ADAS) offer heightened safety on the road — more than 84% of drivers believe ADAS features work to promote a safe drive, research conducted by CCC unveils. Automotive Dive highlights several applications that companies are actively exploring when it comes to the automotive industry, as the tech remains at the core of advanced driver assistance systems (ADAS). For example, it’s noted that AI has the power to identify and classify objects on the road, from pedestrians to vehicles, traffic signs and beyond in order to create a safer and more elevated driver experience. The detection of lane boundaries, distance measurement, and blind spot monitors are additional applications. As the technology advances, decision making and path planning work to enable AI-powered vehicles to “grasp complex traffic scenarios, predict the behavior of other road users, and based on gathered information, determine optimal driving trajectories,” Automotive Dive explains.

The autonomous vehicle movement

Many of today’s vehicles are advertised as self driving, though it’s important to note that these aren’t completely AI driven, one Forbes article highlights. “In fact, most self-driving features are tricks — dumb systems the car uses to keep us going straight and between the yellow lines.” The article goes on to explain that “real” autonomous vehicles require L4 mode, and further cites the six-point system that was created by the Society of Automotive Engineers (SAE). The system involves a zero to five scale, which works to describe just how autonomous a vehicle is. L4 reflects a ‘high automation’ car, which “can drive in almost any circumstances and most don’t require any human interaction.”

The U.S. News and World Report expands on the level system and where it stands in regard to mainstream implementation. Level 4 autonomy, however, is still a ways away — the technology is noted to be “doable” by the year 2030, according to Mercedes Chief Technology Officer Markus Schӓfer, who spoke to Automotive News. “Private-owned Level 4 cars, absolutely. This is something that I see in the future,” Schӓfer stated at a California media event. The 2023 U.S. News and World Report article highlights the fact that Mercedes-Benz has broken ground, as the automaker became the first in the United States certified to sell vehicles at a SAE Level 3. Level 3 autonomous cars are noted to be “more capable” than those at a Level 2 (Level 2 systems are common today), though it still requires that a human driver be present in order to take over when needed.

While AI is expected to propel endeavors such as autonomous vehicles, it also shows great promise in several other aspects of the automotive industry. In regard to the driver experience, consumers can expect a variety of transformations that range from efficiency on the road to innovations that aim to elevate safety.