AI (artificial intelligence) and automatic safety in the automotive industry: reality and fantasy

If you are not yet tired of hearing the term "artificial intelligence", it can be noted that this technology implemented in cars can actually save your life. However, one must clearly understand and separate the fantasies of some experts and reality. Existing reality includes in-vehicle systems that make driving easier and track driving habits. Realistic cars are still an unrealizable fantasy.

The situation is that the concept of "artificial intelligence" combines a number of technologies, including smart control at the analog, digital and logical levels, bionics at the physical level, as well as intelligent information processing. Taken together, this is all "artificial intelligence", but separately, only its elements.

Artificial Intelligence and Digital Productivity

AI is actually built on the well-founded principle that a computer, if given the right algorithms, can make calculations and decisions much faster and more accurately than a human. Except that the algorithmic approach is not really an AI technology. Its main quality is adaptability and reflection in relation to the internal and external environment, the possibility of fuzzy-logical conclusions, in contrast to clear algorithmic decisions, which implies the flexibility of decision-making in all possible situations.

So what is in this driving technology, and how is it implemented behind the wheel?

AI on wheels

AI was not originally a trend in the automotive industry and developed in the backyard, now it is impossible to ignore. It must be said that the technology has been flexibly integrated into existing on-board systems using advanced algorithmic approaches in various exchange rate stability systems.

One of these applications of artificial intelligence in the automotive industry is advanced driver assistance systems, sometimes referred to as "ADAS".

Sense Media Managing Director Rob Steid spoke at AutoSens Brussels on 20 September 2017. The two-day conference, held at Autoworld Brussels, looks at many aspects of automated driving, including the role of artificial intelligence in these systems.

Passive driving

Artificial intelligence includes the development of such design features as analogous functions of the nervous system. They are known to be based on reflexes. If cars can have better and more perfect reflexes, then they can take over driving. Is it so? Yes, but in part.

Modern people's distrust of technology is completely justified, since a machine, even the smartest one, can not cope with the multiple choice of solutions. Therefore, when leaving home for work, you need to take a spare tire and everything you need to help yourself on the road, and also rely on the autopilot only as assistance. At the same time, in the near future, low-speed cars will be able to transport you from one place to another in automatic mode, without the need for driving.

In 2016, GM spent a large sum to buy Cruise Automation, a developer of autonomous vehicles in San Francisco. Toyota Research Institute unveiled Intelligent Platform 3.0 at the 2018 Consumer Electronics Show in Las Vegas, Nevada. With all the investments, all these systems have limitations and are not classical artificial intelligence systems.

Long term use

Innovations are now ultimately reduced to several conceptual trends, apart from the adoption of bionic principles and multi-sensor control with a set of cameras and sensors to directly monitor road quality and driving conditions, AI-based 3D visualization is considered promising. It uses biometric markers for authentication, adjusts driving conditions to the style of the driver, and performs a number of other functions.

As cameras can process visual information, processors become more technologically advanced and faster, humanity is gradually approaching the fact that machines with digital systems will become more secure than their analog versions.

The problem and prospects of artificial intelligence to comment on George Brostoff (George Brostoff). He is the founder and CEO of SensibleVision, a leader in 3D face authentication technology headquartered in Cape Coral, Florida.