Artificial Intelligence is taking the automobile industry by storm while all the major automobile players are utilizing their resources and technology to come up with the best.
The beauty of devices with Artificial Intelligence is that it tries to learn from sensory inputs like real sounds and images.
In the same way, when intelligence is applied to the technology within an automobile, it would recognize the environment and evaluate the contextual implications when it moves or faces any hurdles.
In 2015, the install rate of AI based systems in new vehicles was just 8%; this number is expected to soar to 109% in 2025. This is because different kinds of AI systems will be installed in vehicles.
The thought behind driverless cars was around from the 1970s, so it is not entirely new. AI powered cars, depicted in movies over the years, have always captured our imaginations. But the lack of technical brilliance and resources probably kept it from becoming a reality, until recently. Eventually, all the factors leading to artificial intelligence shaped up and now driverless cars have become a reality.
Well, almost, it is just a matter of time before you begin to see real intelligence in them. The idea is to empower the vehicle to act like a human driver and drive through various circumstances. This may sound easy, but is in no way a simple task because a lot of careful computing is required.
Through techniques like sensor fusion and deep learning, researchers were able to develop a technology that would help build a three dimensional map of all the activities that happen around the car.
Some of the leading tech and automotive giants like Google and Tesla are spending millions of dollars in research to come up with better technology and to make autonomous cars a commercial reality. Recently, Ford Motor Company made an investment of one billion dollars in Argo AI, a new AI company to bring forth a virtual driver system in the future, possibly by 2021.
Now, let’s look at the different ways in which artificial intelligence will drive the automobile industry in the future:
Artificial intelligence is a kind of intelligence developed as a result of excellent scientific experiments. This intelligence when applied on to devices and machines will think and act almost like human beings.
However, there is a difference between Artificial Intelligence and Machine Learning. While in AI, devices would carry out tasks in a way humans consider smart, ML or Machine Learning is an application of AI where machines are given certain data and they learn for themselves. MI is actually a subset of AI.
Toyota has gone a step further and has brought together Big data, Machine Learning and Artificial Intelligence to create highly responsive autonomous systems that aid in mobility for those who are “less able to drive”.
Deep Learning is the process by which we implement Machine Learning. It is with the help of Deep Learning that many of the activities in AI happen without setbacks. DL helps break down tasks in manageable chunks. The software in DL learns and then it starts mimicking the activities in the neuron layers of our brain.
DL techniques have been very useful in the automobile industry as it aids in advanced driving assistance systems and autonomous driving. This is just within inside the vehicle. DL plays an important outside the vehicle as well – during manufacturing, sales and after service. Even in services where technology was a bit hazy until now, it was DL that brought in a huge improvement.
Recently, a partnership was formed between Nvidia and Bosch to improve the quality and features of autonomous vehicles.
