Self-driving technologies, self-driving vehicles are cars that have a modern self-transportation technology, through which they sense the environment around them and walk in it without any human intervention, and the development of vehicles that operate self-mobility technologies is still ongoing, as the manufacture and use of self-navigating vehicles It is not easy and it faces major technical challenges and obstacles.
Experiments on self-driving cars began since the fifties, and the first self-driving car appeared in the eighties of the last century, and since that time many companies and research organizations have continued to make primitive models for this type of car, and that research and development continued very quickly, with more than 34 participants participating in it. Automotive and technology company.
And the development of self-driving technologies continued until the first license for a self-driving car was issued in the United States, and then some self-driving cars have already started operating from 2017, but they are not fully self-driving.
Google is one of the most prominent companies that have manufactured fully self-driving cars, and it has spent a lot of money on that project, and it started working on the production of a self-driving car in 2009 until it released its first self-driving car in 2014. It has a steering wheel, no gas pedal or brakes, and Google has issued reports that its car has been involved in 14 collisions, the fault of other drivers in 13 of them, meaning that the car's software is responsible for only one accident, which was in 2016.
These cars have a stereoscopic vision system.
It also has a visual recognition system for the objects around it.
As it travels, it relies on data-drawing algorithms and maps obtained through sensors in it to determine the route.
They contain radar-like devices, which are typical sensors on a lidar system.
It also has a geographical positioning system known as GPS.
In addition to the current positioning system.
Despite the great benefit of developing self-driving cars, when it is actually applied in the future, it has some drawbacks, such as
Unemployment increases as motorists lose their jobs, and employees in public transportation and auto repair places can lose their jobs
Increased potential for loss of privacy, risk of hacking the self-driving car system and sharing owner information.
Insurance companies can also be affected as they will have to reduce the cost of insurance on this type of car, because it is designed to reduce car accidents.
Difficulty or inability of artificial intelligence to deal properly with indoor street data because it is complex.
These cars require detailed high-quality maps, and if the maps are outdated, these cars must be able to act on their own.
The possibility that the car's computer and the communication system between the cars could be hacked.
The possibility that the vehicle's sensors or navigation may be affected by weather factors or deliberately interfere with them, such as jamming or simulating them.
The reliability of the software that autonomous vehicles use.