Every year, automobiles get more intelligent. With internet connectivity becoming standard on most new vehicles, multiple automakers and technology companies are vying for a piece of the pie by offering onboard entertainment, navigation, and other services. Artificial intelligence in smart cars can help us do that in a variety of ways. Many automobiles already have the technology, but it’s the interaction with smartphones that makes this such a handy tool.
In this article, we’ll discuss the future of artificial intelligence in smart cars.
1. What Is A Smart Car?
A smart automobile is a vehicle that incorporates vehicular automation, or a ground vehicle that can sense its surroundings and move safely with little or no human intervention. To sense their surroundings, self-driving cars use a range of sensors, including thermographic cameras, radar, lidar, sonar, GPS, odometry, and inertial measurement units. Sensory data is interpreted by advanced control systems to determine acceptable navigation courses, as well as obstacles and necessary signs.
Since the late 1980s, the Smart automobile has been on the market. SMH, the business that makes Swatch watches, chose at the time to create and sell a branded automobile based on the well-known accessories. Recognizing that the automobile would face stiff competition, Nicolas Hayek, the company’s CEO and the man behind the concept, attempted to join up with Volkswagen, a well-known car manufacturer. Volkswagen, on the other hand, abandoned the idea in the early 1990s and began working on its own “three-liter automobile.” The Smart idea was eventually approved by Daimler-Benz, which today owns 51 percent of Smart shares, after being rejected by brands such as BMW, Fiat, and Renault.
2. The Function of Artificial Intelligence In Smart Cars
The following are the functions of AI in smart cars: Then there’s the low-level software, which controls the engine and the car’s driving autonomy, as well as millisecond-level choices. We don’t actively engage in the software sector, but we do collaborate with manufacturers to make use of the data.
Our major focus is on the end user in the second software sector. We concentrate on what they’re doing, where they’re going, what they’re trying to achieve in the car, and what information they require or desire for their trip to assist them to make better judgments. Our objective is to improve the driving experience by improving the value of the user’s time in the car and giving them access to more valuable services. Improving and securing the experience: It’s all about improving data streams, and artificial intelligence in smart cars can help us do that in a variety of ways.
To begin, the user must understand a vast quantity of information about their driving in order to be a safer and better driver. We can use AI to deliver information to the driver on how to be a safer driver. AI can figure out that you’re strong at driving in the rain but not so much on the highway, or that you’re not paying attention when you enter into downtown city areas and should be, and so on. We can assist folks in obtaining cheaper insurance premiums by making them safer drivers.
We can also improve a driver’s journey with AI. The AI system may provide ideas on how to occupy their time at their destination or along the road based on their preferences, such as their favorite coffee shop or the food and items they regularly purchase. Let’s assume I didn’t have time to get my morning coffee: based on their driving habits, the car’s artificial intelligence in smart cars can figure out where their favorite coffee is on the way, the optimum time to buy it, and the best area to stop.
3. The Future of Smart Cars
What we’ve just discussed is just the beginning of technology’s integration into autos. Artificial intelligence in smart cars, on the other hand, is the true future of smart automobiles. True AI will imitate people and continue to learn on the job. We already have some of it at a low level with advanced driver assist systems (ADAS) and on-board infotainment, but the true power of artificial intelligence will be realized when cars can drive themselves, find a parking spot on their own, understand your voice and gestures, read your face for cues, and someday even communicate with each other digitally to avoid collisions at busy intersections.
Experts concur that onboard entertainment and advanced driver assistance systems (ADAS) will be the foundations of artificial intelligence in smart cars. Driver monitoring, eye tracking, voice and gesture control, and natural language interfaces will all be part of onboard infotainment in the future. In essence, you’ll be able to communicate with your automobile as if it were a human individual. It’ll be intelligent, and it’ll learn your driving patterns and preferences over time to help make each journey better. ADAS, on the other hand, will act as your car’s eyes to the outside world, monitoring your surroundings, improving your vehicle’s performance while on the road, and even assessing the driver’s health.
Self-driving cars, like humans, require sensors to perceive the environment around them and a brain to collect, process and pick precise actions based on that knowledge. The same is true for self-driving cars, which are equipped with powerful data-gathering instruments such as long-range radar, LIDAR, cameras, short/medium-range radar, and ultrasound. Each of these technologies serves a distinct purpose and collects various types of data. This information, however, is meaningless until it is digested and some type of action is made in response to it. This is where Artificial Intelligence in smart cars comes into play, and it may be equated to the human brain, with the objective of a self-driving automobile doing in-depth learning.
4. AVs And Connected Vehicles
On the road, autonomous cars are uncommon. Drivers, on the other hand, are already benefiting from the advanced degree of support (with restricted use cases of autonomy). The 2019 Mercedes-Benz A-Class can detect speed limit signs and automatically adapt to the restrictions while taking curves, circling roundabouts, and approaching toll booths. In stop-and-go traffic, Nissan ProPilot Assist is another example of semi-autonomous capabilities, taking the task away from the driver.
Artificial intelligence in smart cars is also critical for connected automobiles, as well as the plethora of apps and systems that have emerged as a result of the connection. The Skoda Connect App, Mercedes-Benz applications, and MyCitroen App are just a few examples of automotive companion apps that aid not only drivers but also manufacturers. Furthermore, AI-enabled connection provides a rich source of data that influences decision-making across the automobile sector. Formula One vehicles, for example, generate roughly 100 terabytes of data through 300 sensors. Engineers then use real-time data to make critical choices about mission control, tire changes, and other issues.