The transportation system is about to be revolutionized by self-driving cars. Hundreds of companies all around the world have been working on autonomous driving. Deployment of a safe and reliable system is more difficult since self-driving cars include several new applications and technical challenges. As it is a matter of life, a self-driving car must be tested in different conditions and environments before deploying the real road. Several steps of deploying a self-driving car are given below.
At the very first step, a prototype of the car needs to be built. The prototype includes hardware, sensors, and other computing systems integration. The automobile system must be built with a number of sensors that work together to address a wide range of driving conditions. Sensor fusion combines all of these signals into a comprehensible AI engine that includes perception, prediction, planning, and control. Hardware should be able to operate reliably at high temperatures, vibration, and rough movement.
Coding and algorithms are essential in the localization and actuation of self-driving cars. The most challenging task for the system is to create an image-based model for feature selection and prediction. To handle real-time data processing to an on-board artificial intelligence engine capable of processing and controlling the vehicle in a real-time environment. Real-time responsiveness, and prevent signal incompatibility problems, avoid obstacles are the key tasks of self-driving car systems. The algorithms are mostly used to make decisions. The algorithms are used for categorization, identification, and prediction of the upcoming movement of objects determines whether a car has to make a left turn or brake.
After implementing coding and algorithms in the system, the system must be trained in different environmental and road scenarios. As AI algorithms learn by training and making mistakes the car system must be trained in different situations to get the best output from it. The sensor must create a map of the environment. And make a proper decision about the situation.
Testing is the most important step of deployment as it is a matter of life. The testing process of self-driving cars is performed in four steps.
Before deploying self-driving cars in the real world some challenges must be overcome. Some most challenges are listed below.
The real deployment of self-driving cars will enable a new era of automotive innovation. We all are hoping to see self-driving cars on our roads overcoming all the challenges.
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