Top Real-World Applications of AI in Automobiles

Artificial intelligence is here to stay, and it has definitely found a lot of uses in the automotive industry. Companies such as Tesla, Mercedes, Nissan and Kia seem to be championing the endeavor of the intelligent cars, and this article takes a look at a few ways in which AI is contributing to that.

Driver assistance and additional safety

While AI might not be able to fully take the wheel yet, it sure makes for an awesome co-driver.

AI provides a perfect level of advanced safety that will help improve the functionality of connected vehicles. These features also help customers, regulators and vehicle manufacturers get more familiar with AI systems.

By monitoring various sensors, AI can grade dangerous situations. It can then notify the driver, or take some emergency measures to avoid accidents.

Safe driving is also possible with the help of night vision systems such as the Lanmodo 1080P-Full- Color- Image Night Vision System. This driving assistant provides wide angle vision, high resolution views long distance range and much more, all with an aim to ensure that drivers are able to get proper views of the road ahead of them. A few specs of Lanmodo night vision system are:

1. The original attention in developing the night vision system is, consider the safety of night driving. According reports, most of the car accidents happened at night and most of them were caused due to poor visibility or bad weather situations. Lanmodo night vision system is a driving safety assistance for people who love to drive in night, the drivers don’t need to stare the screen all the time, with this system they can get assistance with clear & bright graphics. The Vision Distance of Lanmodo 1080P Night Vision System can be up to 300M, in this way, it will help drivers to understand road situation more fast and easy to avoid accidents.
2. Lanmodo 1080P full color image night vision system will be useful to truck drivers who always drive at night. As we know, normally the truck comes with long body which will cause visual impairment on truck tail. In this way, Lanmodo 1080P full color image night vision system is deployed with rear view camera to monitor the truck tail to keep driving safety. The connector line of the rear view camera is up to 600M which is suitable for almost all car models.
3. Meanwhile, it will be helpful for old person with poor vision, since the screen of Lanmodo 1080P full color image night vision system is with 8.2" HD screen, 1080P high resolution and full-color image which makes the traffic situation clearly displayed on the screen.
4. With an external power supply, the night vision system can also be used for night activities, such as night fishing, photographing, etc.

AI Automobile insurance

AI has one major common feature with the insurance industry, and it’s quite a big deal. Both of these features spend a lot of time thinking about what the future olds.

Of course, it really is no surprise that the insurance industry has embraced the use of AI in their cars as a means of helping to provide real-time risk assessment.

That’s not all, though. AI also speeds up the process of claim filing in the event of unforeseen accidents.

The application of AI in the insurance company has brought about the field of Insurance tech, and there are various ways through which the insurance industry is becoming more effective with the use of deep learning and AI.

AI in boosting the manufacturing process

Apart from changing what cars can do, AI is now changing the way vehicles are being made.

We all know how assembly line robots work they have been able to help assemble vehicles since back in the 60s. However, what is new are smart robots that are able to work with humans, as opposed to alongside them.

Back in 2018, Kia started to work with Hyundai Vest Exoskeleton in order to develop wearable industrial robots that were able to work with their assembly lines. The company saw AI as a major area for growth in the future, and they immediately worked on a robotics team that will blaze the trail.

The Hyundai Chairless Exoskeleton and the Vest Exoskeleton are wearable robots that improve protection to the workers’ back, knees and neck, while also helping them to move easily and aid them in performing tedious tasks.

There are also other ways AI is helping with developing cars.

With collaborative robots, car manufactures can now sense what human workers are doing. The robots use AI to adjust their motions in order to ensure that they don’t run into human workers while on the job.

Automated Guided Vehicles are also being used to effectively place materials in places without the need for human input. With AI, autonomous delivery vehicles can identify objects in their way and walk around them.

Also, AI-powered welding and painting robots can now do much more than what they were programmed to do. With AI, they can check for irregularities in the design of materials and make necessary adjustments.

Driver tracking

AI also enables cars to keep an eye out for their drivers.

eyeSight, a startup based in Israel, used deep learning and AI to provide a wide array of automotive automobile solutions. Advanced Time-of-Flight cameras and IR sensors help them to detect the behavior of drivers across various aspects.

Top Real-World Applications of AI in Automobiles was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.