Autopilots auto (auto control) based on neural networks


Autopilots auto (auto control) based on neural networks AVADA-MEDIA

Artificial intelligence (AI) is gradually taking an increasingly important place in many areas of human life. So, neural networks and machine learning are used in the development of self-driving cars and auto-control, which, according to experts, will eventually revolutionize the automotive industry.

The potential of the technology makes it in demand and arousing interest among a number of companies, since it allows them to interact with a dynamic environment and a huge number of variables.


Neural networks reveal patterns in the data, with the help of which the car learns to recognize traffic lights, trees, curbs, pedestrians, street signs, other cars and other elements of the external environment. This feature makes intelligent systems one of the most promising in the world.

Implementation of auto-control based on neural networks


Implementation of auto-control based on neural networks AVADA-MEDIA

The use of artificial intelligence in various fields is becoming a global trend, and the automotive industry is no exception. AI capabilities are used to simplify user interaction with equipment, in the process of assembling vehicles and even for the development of auto-control.

Speech recognition systems based on neural networks are one of the innovative technologies integrated into modern cars. Thanks to them, drivers can use voice commands to make calls, change radio stations or play music. These functions help to create a comfortable driving environment, while not distracting the person from direct control of the car and the situation on the road.

Of course, the scope of application of neural networks was not limited to this. Large companies and start-ups have begun to work on creating their own autonomous models and autopilots. The leaders included Audi, BMW, Ford, Google, General Motors, Tesla, Volkswagen, Volvo and others. Most systems use a combination of different sensors (visual, ultrasonic and radar) that analyze traffic to improve vehicle handling. The sensors provide good visibility in any weather, high-quality images and object detection at close range. Thanks to their integration, the vehicle can read signs, park and react to traffic around.

According to the NHTSA (National Highway Traffic Safety Administration), there are five levels of automation:

  • The driver uses an Advanced Assist System (ADAS) that allows steering, braking and acceleration (but not simultaneously) to be controlled.
  • ADAS can use the steering wheel, brake or accelerate at the same time, but the driver is still involved in driving the vehicle.
  • The Automated Driving System (ADS) performs all tasks under certain circumstances, for example, when the car is parked, but the driver must be behind the wheel and control the process.
  • ADS can perform driver tasks and control the driving environment in certain circumstances.
  • ADS acts like a virtual chauffeur and fully controls the car under all circumstances.

The introduction of new technologies into cars has a number of advantages:

  • Improving road safety
    Automation helps to significantly reduce the number of road accidents. According to statistics, almost 90% of accidents are caused by wrong decisions made by a person, for example, speeding or carelessness. Self-driving cars can solve this problem and reduce driver errors.
  • Saving money
    Autopilot avoids accident-related costs, including medical bills, lost work time and vehicle repairs. In addition, in the long term, this will significantly reduce the cost of insurance.
  • Environmental friendliness
    Fewer accidents mean less traffic congestion, which will lead to lower fuel consumption and less active environmental pollution.
  • Fuel economy
    Self-driving cars will be able to reduce fuel consumption by 4-10%.
  • Reduced travel time
    The technology provides the choice of the most comfortable and shortest route, so the driver will be able to spend much less time behind the wheel.

Autonomous navigation helps you manage your vehicle flexibly and find the right solutions even in the most difficult situations on the road. The software can replace outdated systems, improve the safety of drivers and pedestrians, and reshape and optimize the industry as a whole.

Advantages of developing an autopilot for cars based on neural networks at AVADA MEDIA


Advantages of developing an autopilot for cars based on neural networks at AVADA MEDIA AVADA-MEDIA

AVADA MEDIA specializes in the development of scalable software, including modern auto-control based on artificial intelligence and machine learning.

Autonomous navigation contributes to the development of more efficient and environmentally friendly vehicles, limits the number of cars on the road, relieves traffic and reduces the negative impact on the environment.

That is why our specialists are confident that the potential of new systems will help create vehicles that will safely deliver people to their destination in the shortest possible time.

For example, thanks to 360-degree sensing technology, the autopilot effectively detects pedestrians, other vehicles, cyclists, road works and other obstacles, so it does its job perfectly.

Artificial intelligence is changing not only cars on the road, but also the companies that make them. Neural network systems make production lines more efficient and more competitive.

The AVADA MEDIA team offers robust and flexible IT solutions based on neural networks and machine learning that help companies automate and optimize processes to meet individual customer and business needs.

Autopilots auto (auto control) based on neural networks

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