When you think of ai applications in the automotive industry, the first thing that probably comes to mind is self-driving cars. But what AI needs to do is not only drive, but also bring us safer, more convenient, more comfortable and happier driving experiences. This paper will study the following five applications of artificial intelligence from different perspectives of automobile manufacturers, service providers and drivers.
AI based autonomous driving
The processing power required for autonomous vehicles is enormous, and traditional computers simply aren’t up to the task. Because autonomous driving doesn’t follow a set of rules or a simple algorithm, it involves things like deep learning, in other words, artificial intelligence. A growing number of automakers and startups are developing AI apps, with two companies leading the way in autonomous driving: Google and Tesla.
Google Waymo, which has been conducting test drives in Phoenix for the past year, plans to launch a public ride-hailing service by the end of 2018. Waymo’s AI software processes data from the vehicle’s lidar, millimeter-wave radar, high-resolution cameras, GPS and cloud services to generate control signals to operate the vehicle. Powerful artificial intelligence can not only respond to what’s around it, but also accurately predict changes in the behavior of things in the car. Like pedestrians on the sidewalk are going to cross.
Tesla has become a household name in the electric car market, and it wants to do the same for self-driving cars. Tesla uses eight cameras, an array of ultrasonic sensors, sonar, forward radar and GPS, all of which are fed into an artificial intelligence program that converts the sensory data into vehicle control data. Tesla’s autopilot system checks your calendar and, if you’re not in the mood to talk, takes you where you want to go. The value of AI in autonomous driving is in constantly learning and adjusting the rules for navigating the road.
AI-based cloud services
Artificial intelligence and cloud services also go hand in hand and interact with each other. In any case, cars need to analyze a lot of data to accomplish their tasks. The application of artificial intelligence cloud services ensures the validity of data and fully reflects the potential value of big data.
1) Predictive maintenance
The cloud services platform can monitor hundreds of sensors in real time and learn algorithms to spot subtle changes in them, spotting problems before they affect the vehicle’s operation. In October 2018, Volkswagen and Microsoft announced a partnership aimed at turning the car company into a digital service-driven enterprise. Vw recognizes the value of cloud-based AI solutions that will provide predictive maintenance and over-the-air (OTA) software updates for vehicles across the brand.
2) Personalized marketing
Cloud platforms based on artificial intelligence can precisely target those conditional target audiences. By combining artificial intelligence with big data, car infotainment systems can recommend personalized products and services to users. In advertising, it doesn’t get much better.
Ai-based car insurance
Insurers use AI to assess risk in real time. Here are some examples of how AI has enabled the insurance industry to embrace deep learning.
1) AI based driver risk assessment
Different from the traditional reliance on historical driving behavior to set premiums, AI analyzes drivers’ personal risk factors through big data technology. Seemingly insignificant factors may affect drivers’ safety. Such as personal health issues or recent divorces, ai can find details that affect safe driving.
2) DIY car claims
Damaged parts, repair plans and repair prices can be identified within seconds by taking photos, algorithmic identification and connecting to the insurance company’s back office.
Ai-based vehicle manufacturing
Ai is not only changing how cars function, it’s also changing the way they’re made. What is new are intelligent robots that fight side by side with humans. In early 2018, Kia Motors began collaborating with Hyundai to develop wearable industrial robots for its assembly lines. Vest exoskeleton (H-VEX) and chair less exoskeleton (H-CEX) wearable robots help protect the knees, back and neck of workers while giving them greater flexibility and strength.
In addition, cooperative robots use artificial intelligence to sense the behavior of human workers, and they adjust their movements to avoid harming non-machine colleagues. Autonomous guided vehicles (AVG) use artificial intelligence to identify obstacles and adjust their course, transporting materials around car factories without human intervention. Driven by artificial intelligence, traditional drawing and welding robots don’t just follow pre-set procedures, they can also identify material defects or irregularities and alert quality control personnel or adjust accordingly.
AI based driver monitoring
Israeli start-up eyeSight uses advanced TOF cameras and infrared sensors to detect drivers’ behavior in the following ways.
1) Driver identification
Artificial intelligence software detects whether the driver is in the car.
2) Face recognition
Using advanced facial recognition algorithms, eyeSight detects which driver is driving the vehicle. For example, if a husband, wife or child has their own preferences, the system can remember, automatically adjust the seat, rearview mirror, car temperature and so on.
3) Driving behavior monitoring
By “observing” the gaze of the eyes, the degree of eye opening and the position of the head, eyeSight can detect distracted driving and remind the driver to remain attentive. At the same time, the display content of the head-up display (HUD) is adjusted according to the concentration position of the driver’s eyes.
4) Infotainment control
EyeSight can recognize simple gestures, allowing drivers to operate the infotainment system through gestures without diverting attention.
The development and application of artificial intelligence will completely change the automobile industry: change the way of automobile production and manufacturing; Changing the way cars are used and operated; Changing our lives. The new wave of changes not only brings new opportunities and challenges to Google, Tesla and other major automobile enterprises, but also means that startups will impact the automobile market and occupy a place.