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Teknikimobil.com – Talking about artificial intelligence (AI) is like talking about our [personal] future, especially talking about the future of the world. Likewise in the future of the automotive industry. How will artificial intelligence impact the automotive industry? Let’s look at the following simple explanation.
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[Also read: Latest automotive news ]
Artificial intelligence is actively involved in the automotive industry due to various problems such as the issue of global heating. Apart from that, the threat of an energy crisis has also really forced the main players in the four-wheeled sector to utilize existing resources and technology to produce the best products.
The beauty of devices with artificial intelligence is that they will try to learn through sensory input such as sound and real images.
In the same way, when artificial intelligence is applied to technology in a car, it will recognize the environment and evaluate contextual implications as it moves or encounters any obstacles.
In 2015, the installation rate of AI-based systems in new vehicles was only 8%. This number is expected to jump to 109% in 2025, as we reported on gemalto . This is because different types of AI systems will be installed in the vehicles.
Artificial intelligence ‘drives’ driverless cars
The thinking behind self-driving cars dates back to the 1970s, so it’s not entirely new. AI-powered cars, depicted in films over the years, have always captured our imagination. But a lack of technical brilliance and resources probably prevented it from becoming a reality, until now. Eventually, all the factors that led to artificial intelligence took shape and now driverless cars have become a reality.
Well, almost, it’s only a matter of time before we start to see the true intelligence in them. The idea is to empower the vehicle to act like a human driver and drive through a variety of conditions. This may sound easy, but it is by no means a simple task as a lot of high-fidelity computing is required.
Through techniques such as sensor fusion and deep learning, researchers were able to develop technology that will help build a three-dimensional map of all the activity that occurs around the car when it is stationary (parked) or moving.
Some of the leading tech and automotive giants like Google and Tesla spend millions of dollars on research. The goal is none other than to produce better technology and make autonomous cars a commercial reality. Recently, Ford Motor Company made a billion dollar investment in Argo AI , a new AI company to produce virtual driver systems of the future, perhaps in 2021.
Now, let’s take a look at the various ways in which artificial intelligence will drive the automotive industry in the future:
First; Machine Learning
Artificial intelligence is a kind of intelligence developed as a result of excellent scientific experiments. This intelligence when applied to devices and machines will think and act almost like humans.
However, there is a difference between Artificial Intelligence and Machine Learning. While in AI, devices will perform tasks in a way that humans consider intelligent, ML or Machine Learning is an application (applied to) AI where machines are given certain data and they learn for themselves. ML is actually a subset of AI.
Toyota has gone further and has gathered Big data, Machine Learning and Artificial Intelligence to create a highly responsive autonomous system that aids mobility for those “less able to drive”.
Second; Deep Learning
Deep Learning is a process where we apply Machine Learning. With the help of Deep Learning many activities in AI occur without setbacks. DL or Deep Learning helps solve tasks in smaller (lighter) task chunks which are [of course] more manageable. The software in DL learns (learns) and then begins to mimic the activity in the neuron layers of the human brain.
DL techniques are very useful in the automotive industry because they help advance assistance systems and autonomous driving. This is only in the vehicle. DL plays an important role outside the vehicle too – during manufacturing, sales and after-sales service. Even in services where technology was a little hazy until now, it is DL that brings major improvements.
Recently, a partnership was formed between Nvidia and Bosch to improve the quality and features of autonomous vehicles ( forbes ). Through this, Bosch will build a supercomputer that will work in such a vehicle, and Nvidia will provide the Deep Learning technology to pull it off. Thanks to Nvidia and Bosch, in the future you can expect a new level of AI touch in cars like Audi and Mercedes Benz.
Third; The Internet of Things (IoT)
The Internet of Things has made an indelible mark in the automotive industry and is poised to go from strength to strength in the years to come. Newly manufactured vehicles have a number of novelties attached to them – Smart sensors, geo-analytical capabilities with big data, embedded connectivity applications.
And with their luxury features, vehicle owners can enjoy a number of features. Here are some of them:
- The dealer or manufacturer will make vehicle firmware updates via over-the-air software
- If a vehicle is scheduled for repair or servicing on a particular day, the vehicle performance data will be sent to the manufacturer/dealer/service center
- Through software, manufacturers can fix certain performance problems in a vehicle; the owner may not need to schedule a repair shop
- Companies with their own fleet of vehicles can manage the same with better safety parameters
- Improving manufacturing quality is possible through IoT processes
- If a medical emergency occurs, the car’s smart sensors will call the concerned medical personnel.
Fourth; Cognitive Capabilities
The driverless revolution will continue to roll down the streets, and you’ll see not only small cars with AI capabilities, but also 18-wheel trucks carrying goods going the same way. This is taken a step further with cognitive analysis that mimics human behavior by looking at behavioral patterns and data mining capabilities.
Cognitive systems are supposed to work like humans interpreting real-life situations, and to do so, a deeper understanding of unstructured data is essential. Insights will be drawn from a wealth of unstructured data to decide how to respond naturally in real time.
Cognitive capabilities are also able to handle dynamic operating conditions. Car manufacturers have started to include these in 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.
Fifth; Infotainment Systems
Artificial Intelligence is changing in-vehicle infotainment systems in a big way. Due to this trend, the demand for high-quality hardware and software solutions is also increasing as everything needs to be compatible with AI.
In the infotainment category, you can expect a surge in features like speech recognition, eye tracking, driving monitoring, gesture recognition, and natural language databases. Finally, it will also go further to consider driver condition evaluation, camera-mounted machine vision systems, engine sensor fusion control units and radar-based detection units.
[Also read: Theoretical problems with electric vehicles ]
There is a human machine infotainment interface that is attached to the vehicle and it can monitor and act according to algorithms gathered from cloud-based neural networks. This will then be used to perform advanced tasks.[]