How do Self-driving cars make the right decisions while navigating on the roads?
A research study says ninety percent of motor vehicle crashes were caused due to human errors. The three primary human factors that are most frequently cited in the study are speeding, inattentiveness, and improper lookout.
In certain aspects, self-driving cars are safer than humans. Self-driving cars have the potential to reduce crashes, prevent injuries and save lives. The self-driving cars of today use a combination of various cutting-edge software and hardware technologies to perform driving smoothly. Artificial Intelligence software in the car is connected to all the sensors and collects input from Google street view and video cameras inside the car.
Artificial intelligence simulates human perceptual and decision-making processes using deep learning and controls actions in driver control systems such as steering and brakes. Thus Drivers with fewer cars identify objects, interpret situations and make decisions based on object detection and object classification algorithms. Thus by detecting objects, classifying them, and interpreting what they are self-driving cars make the right decisions while navigating the roads. Autonomous cars not only change the cars on the road with a smooth ride, but it also opens up gates for people with disabilities providing them with reliable and safe transportation. It upgrades businesses to deliver delightful support experiences to their customers across the globe. Government data identifies driver behavior or error as a factor in 94% of car accidents caused by human error, the adoption of autonomous vehicles has the potential to make our roads much safe.