The Future of AI in Automotive Industry is fully going to revolutionize the automotive industry going the way it is now, it’s a sneak peek we are getting today, AI has the scope to take each industry wholly into the different zone it is now in.
It has the potential to change the way we drive and design & dynamics beyond imaginable places. Look at the way Tesla has used it to design and develop self-driven cars it’s all AI. It will make cars and military vehicles. And robots to customize the delivery of logistics & gonna make Transport Vehicles much safer and much more efficient and will make maintenance easy too.
Artificial Intelligence in Cars
Flying Cars which a decade ago was only fiction in Sci-Fi movies is no longer a fantasy, With AI Companies like Boeing and Terrafugia have developed fully autonomous flying cars. This has compelled for many changes in the Aviation industry too. Japan was the first to introduce the self-driving car developed by Tsukuba Mechanical Engineering Laboratory in 1977. In 2016 Uber also came up with its version of self-driving cars. But a crash in the year 2018 at the speed of 60 and killing a woman put all on hold, it was the first self-driven car accident in the history of autonomous vehicles.
Let’s look at the way Tesla has used the potential of AI to make its car Auto Driven or say all Autonomous. It mainly uses all the types of sensors that are fitted into the body to navigate and all the 360-degree cameras and advanced algorithms to drive through the roads without any human needed to drive, it will take all the decisions by calculating with algorithms. In many places, pods are taking passengers through Airports, and pods are used as testing stuff in many tourist places. They take the tourist on the scenic journey quietly and all these are electric vehicles maintained through AI.
Cloud Computing and Cognitive Computing
With the help of Cloud Computing, it can help in staging, developing and deploying technology in automobile industries. That includes analytics and data that is available when needed.
Cognitive Computing works like a human and it can self-analyze unstructured data and make decisions in highly complex situations. With the incorporation of AI in the vehicles, it can guage what exactly the type of objects are in its path and what are their general behavior and how they react to this set of data, it learns and changes, and adjusts its way of working.
Artificial Intelligence and IoT
IoT (Internet of Things) with this the manufacturers can update their vehicles at any time and issues can be diagnosed at the early inception phase to be sorted out, medical emergencies and toll booth money deductions can be done fast saving a lot of time. They have a virtual neural network of all the self-driving vehicles that have the capability to learn on the go.
Deep Learning can be defined as the process that is followed to achieve Machine Learning. It is based on an Artificial Neural Network that adapts and learns quickly to make intelligent decisions, it’s used in driving assistance and improving the quality of vehicles as it has huge set of data to compare and give out the best result.
Bosch is developing a Super Computer for vehicles and Nvidia is working on Machine Learning and Deep Learning to back them up and they are also working with Tesla.
The cities and the environment that is needed for this technology, want the infrastructure to be modified to be fitted to suit this AI automobile industry. Imagine if all of the globe becomes driverless, and cars fly all around, will there be a need for any traffic signals? What will the Traffic officers do then? What about Lanes and how speed limits will function? Will that make everything much more predictable? The answer to this is, it all will be measured and maintained with dynamic and sophisticated self-developing algorithms.
Dream Catcher System developed by GM(General Motors) is used as the inception of vehicle design, dream catcher can leverage with AI Effectively and perform highly precise designs. A real-time example is, it was able to design a single-piece seat belt bracket that was 40 percent lighter in weight and 20 percent stronger, than the conventional 8-component design.
Companies such as Mercedes Benz, BMW, Ford, Volkswagen, and Honda have leveraged AI into their cars in order to build a driver assistance system that can make sure that driver is attentive to the road and does what’s needed in case of emergencies.
Machine Learning also helps in understanding the steering inputs of non-driver and driver cars. Tesla is using it in beyond thinkable ways and exploring ways to improve and change the driving experience of consumers. Tesla has partnered with Nvidia and has implemented self-driving cars and that’s not only in freeways but also in places where there is huge traffic, recently we know that it has also introduced the autopilot system in its cars.
Google’s WayMo Project is still under development and when implemented the project will have autonomous driving cars as a Taxi service without human interventions. The Estimated revenue of autonomous cars will grow from 5.6 billions in 2018 to 60 billion till 2030 this kind of impact AI will have on automobile industry.
Benefits of using Artificial Intelligence
The biggest advantage of AI in the automobile industry is that it can lessen the impact of accidents that are gonna happen. They will for sure has the potential to reduce the fatalities rate and make a difference in lives that will be saved by using AI vehicles. As AI-based vehicles cannot be distracted as humans, so we can say that if not 100 percent then at least to the largest extent it has the potential to reduce the human-like errors that usually occur nowadays.
Other than that they can improve how the traffic flows and one AI-based vehicle can communicate with others with their own infrastructure to reduce traffic jams and lessen traffic worries.
With the introduction of AI in the private vehicle, performance and efficiency can also be increased. Like say for example they can increase fuel efficiency and give us efficient and optimized routes, and can also change the power output according to the need and the conditions of the roads. With help of eyeTracking it can help the driver with an alert if it recognizes the driver has dozed off thereby saving lives.
With the help of AI we can optimize the maintenance issues on time and thereby saving time and money and thereby saving the wear tear of the vehicle parts.
AI introduction into the passenger segment of vehicles can take the luxury of the vehicle to the whole next level, by adapting and changing the theme, music, and temperature according to the user, which will only enhance the user experience.
Features like speech recognition, gesture control, and eye monitoring all are fed into the AI, with natural language as a database to be referred to make a smarter decision based on the activities. It can identify dangerous situations and alert the driver or can take control in its hand to do some emergency braking to avoid major accidents in cases like blind spot detection and cross-traffic management.
Design and Manufacturing
Design and Manufacturing in this sector will be the most where the AI needs to be and will be utilized to build the vehicles, As the humongous amount of data, performance, and user needs and preferences will be studied and developed accordingly. It will also reduce the wastage of the materials used in the development of the vehicles by use of AI.
Kia Motors has started using wearable industrial robots in manufacturing to help workers doing tedious jobs. AI-Powered painting and welding robots are also used, with the use of AI defect finding has been one heck of good which can go undetected in case of humans sometimes, here AI developed defect detection is concise and alerts once it finds any discrepancy in, to the quality personnel.
Risks and Implications
Risks and Implications, With every new technology evolving there are many benefits but at the same time has some implications and risks that should be answered or at least have to be bear in mind about possible downsides. First and foremost implications will be on the job prospects as automation will make prevalent and it is estimated that it will incur 4 million job losses across the globe.
In case of accidents happening with AI-used vehicles, who should be liable, the owner or the faulty AI, or the victim of the accident, this needs to be addressed. The transporters, Manufacturing industry giants, and design engineers should carefully consider these issues beforehand.
With High-cost estimation this will be first introduced in high-end vehicles. And what will happen to those enthusiast drivers who still love driving and want to have all the controls in their hands? The question needs an answer still..!!
Conclusion
Yes AI has garnered the attention of the Automotive industries and for sure it can bring advancements and growth in this industry which includes cars, commercial vehicles buses trucks, and bikes once it’s good to use it can reduce many human errors. But the margin of error for AI should be no, less than 100% else would be catastrophic and may result in loss of lives. Yes AI will change this industry in a dramatic way but the adoption should be slow giving it more time to improve itself.
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