It is impacting the auto industry, and all major automakers are using their resources and technology to do their best to respond. The beauty of a device with artificial intelligence is that it tries to learn from the real sound and images input by the sensor. In the same situation, intelligence is applied to automotive technology. When the car is moving or encounters an obstacle, it enables the car to perceive the environment and understand the information contained in it.
In 2015, the AI system installation rate of new models was only 8%. This number is expected to soar to 109% in 2025. This is because various AI systems will be installed in the vehicle.
1. Promote driverless cars
The idea of driverless cars started in the 1970s, so new things have not only recently appeared. As depicted in the movie many years ago, only intelligent cars can always arouse our associations. However, the lack of technological highlights and resources may have made it impossible to become a reality until recently. All the conditions leading to artificial intelligence have been formed, which will eventually make artificial intelligence a reality.
It can be said that it is only a matter of time before you can see the real intelligence with your own eyes. One idea is to enable the vehicle to act like a human driver and drive through various situations. This may sound easy, but it is definitely not a simple task because it requires a lot of careful calculations.
Through sensor fusion and deep learning technology, researchers can develop a technology that helps build a three-dimensional map of all the activities happening around the car.
Some leading technology and automotive giants, such as Google and Tesla, are spending millions of dollars to research better technologies and make driverless cars a commercial reality. Recently, Ford Motor Company invested 1 billion U.S. dollars in Argo AI, a new AI company that may launch an unmanned driving system before 2021.
Now, let’s take a look at the different ways in which artificial intelligence will advance the automotive industry in the future:
It is an intelligence developed from the results of excellent scientific experiments. This kind of intelligence is applied to devices and machines to make them think and act like humans.
However, there are differences between artificial intelligence and machine learning. In AI, devices will perform tasks in ways that people think are smart, and machine learning is an application of AI. The machine is given certain data and then let itself learn. Machine learning is actually a subset of AI.
Toyota has already taken a step forward, bringing together big data, machine learning and artificial intelligence to create a highly responsive driverless system that provides convenience for those who “cannot drive”.
2. Deep learning
Deep learning is the process by which we implement machine learning. With the help of deep learning, many AI implementations are less difficult. DL helps break down tasks in manageable blocks. Software in deep learning can begin to mimic the activity of our brain’s neuronal layer.
Deep learning technology is very useful in the automotive industry because it contributes to advanced driver assistance systems and autonomous driving. This is only in the car itself, outside the car, including manufacturing, sales and after-sales, deep learning also plays an important role. In services where technology has not penetrated deeply, deep learning can also bring huge improvements.
Recently, Nvidia and Bosch have established a partnership to improve the quality and functionality of unmanned vehicles. Bosch will build a supercomputer that can work on this kind of car, and Nvidia will provide deep learning technology. Thanks to Nvidia and Bosch, you can expect to be exposed to higher-level AI technologies in cars like Audi and Mercedes-Benz in the future.
3. The Internet of Things
The Internet of Things plays an indelible role in the automotive industry and will become even stronger in the next few years. Newly manufactured vehicles come with many new connected things, big data geographic analysis functions, and embedded connected applications.
With these things, car owners can enjoy many new features. Here are a few of them:
①The dealer or manufacturer will update the firmware of the vehicle through remote software.
②If the vehicle is scheduled for service or maintenance on a specific date, the performance data of the vehicle will be sent to the manufacturer/dealer/service center.
③Through the software, the manufacturer can correct some performance problems in the vehicle; the owner may not have to make a store list.
④The company with its own fleet can manage it through improved safety parameters.
⑤The quality of manufacturing can be improved through the Internet of Things process.
⑥In the case of a medical emergency, the car’s smart sensor will summon relevant medical personnel
4. Cognitive ability
Unmanned vehicles will continue to cruise along the streets, and you will not only see small cars with AI capabilities, but also AI trucks with 18 wheels carrying a variety of goods. By observing behavior patterns and data mining capabilities to imitate human behavior, cognitive analysis is a big step forward.
Cognitive systems should work like humans interpret real-life situations. In order to do this, a deep understanding of unstructured data is essential. Insight is obtained from a large amount of unstructured data, which determines how to correspond naturally in reality.
Cognitive abilities can also handle dynamic operating conditions. Automakers have begun to incorporate it into their vehicles. For example, BMW has partnered with IBM to add cognitive capabilities to its cars. Through Big Blue’s Watson AI technology, the idea is to help vehicles communicate with each other.
Artificial intelligence has mainly changed the in-car infotainment system. Due to this trend, the demand for high-quality hardware and software solutions has also increased significantly, as they must all be compatible with AI.
In the infotainment category, you can expect features like voice recognition, eye tracking, monitored driving, gesture recognition, and natural language databases. Ultimately, this will also go one step further to realize the evaluation of the driver’s condition; the camera is connected to the machine vision system, the sensor fusion engine control unit and the radar-based detection unit.
The human-machine interface with signal entertainment has been connected to the vehicle, which can monitor and act according to the algorithm collected from the cloud computing neural network. This will be used to perform advanced tasks.
Through the artificial intelligence function, you can see a new type of car driving-the phenomenon of “cloud car interconnection“. Thanks to the huge computing power available, developers have been able to create applications that will elevate artificial intelligence to a whole new level of excellence.
Not only is the car capable of driving autonomously, but it will drive like a real driver in various situations. AI can also help build cheaper cars. This kind of unmanned car can come to feel the environment and drive on the road with various obstacles that may appear.