Intelligent and autonomous systems are intelligent physical systems that minimize human operator intervention or require no operator intervention, in case of unexpected and dynamically changing situations. Systems are systems that combine perception, communication and activation to work in the physical world.
Including autonomous vehicles, service robots, smart grids, smart transportation systems, smart homes, reconnaissance robots etc… for many applications which have social benefits, autonomous systems are recommended. Such autonomous systems will make us safer, more comfortable and enable us to do daily tasks more efficiently. Besides, autonomous systems that interact with people must do this both ethically and transparently.
Autonomous systems need to act reliably in a wide variety of situations. Systems will need to cope with unexpected situations, anticipate errors, overcome errors, intelligently cope with uncertainties and learn from their experience. Among the exemplary applications mentioned, the systems we hear the most in today’s technology are smart autonomous vehicles
An autonomous car is a vehicle that can sense its surroundings and operate without human intervention. In autonomous vehicles, it is not necessary to have neither a human passenger nor a human driver to intervene. An autonomous car can go wherever a normal car goes and is capable of doing everything an experienced human driver does. In order for a vehicle to be fully autonomous, it must be able to go to a predetermined destination on roads adapted for use without human intervention.
How Autonomous Vehicles Work ?
Autonomous vehicles utilize sensors, actuators, algorithms and powerful processors to run the system.
Self-driving cars create a map of the environment based on data from various sensors located in different parts of the vehicle. Radar sensors in autonomous vehicles track the location of nearby vehicles, video cameras detect traffic lights, read road signs, track other vehicles, and detect pedestrians. Lidar sensors are used to measure distances, identify roadsides and identify lane markings. The ultrasonic sensors on the wheels detect obstacles and other vehicles while parking.
With artificial intelligence technologies, the management of the sensors in the above-mentioned autonomous systems is provided. The developers of self-driving cars process data from sensors with machine learning and artificial neural networks to create autonomously driven systems.
