Autonomous Recognition Model
Akash Gupta1, Rahat Ali2, Abhay Pratap Singh3, P.RajaKumar4

1Akash Gupta*, SCSE, Galgotias University, Greater Noida, India.
2Rahat Ali, SCSE, Galgotias University, Greater Noida, India.
3Abhay Pratap Singh, SCSE, Galgotias University, Greater Noida, India.
4P.Raja Kumar, SCSE, Galgotias University, Greater Noida, India. 

Manuscript received on April 20, 2021. | Revised Manuscript received on April 26, 2021. | Manuscript published on April 30, 2021. | PP: 67-73 | Volume-10 Issue-6, April 2021 | Retrieval Number: 100.1/ijitee.F88210410621| DOI: 10.35940/ijitee.F8821.0410621
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Abstract: Nowdays we are witnessing the technology transforming everything the way we used to do things and how the automobile industry is transforming itself with the use of technology IOT, Artificial intelligence, Machine learning. Companies shifting its products and its utilities in diferent way and they now want to acquire and introduce level-5 autonomous to future generation and big automobile companies are trying to achieve autonomous vechicles and we have researhed about the model that will help in assisting autonomous vechicles and trying to achieve that. We will develop this model with help of technologies like Artificial intelligence, Machine learning, Deep learning. Autonomous vehcicles will become a reality on our roads in the near future. However, the absence of a human driver requires technical solutions for a range of issues, and these are still being developed and optimised. It is a great contribution for the automotive industry which is going towards innovation and economic growth. If we talking about some past decade the momentum of new research and the world is now at the very advanced stage of technological revolution. “Autonomous-driving” vehicles. The term Self-driving cars, autonomous car, or the driverless cars have different name with common objective. The main focus is to keep the human being out of the vehicle control loop and to relieve them from the task of driving. Everyday automotive technology researchers solve challenges. In the future, without human assistance, robots will produce autonomous vehicles using IoT technology based on customer needs and prefer that these vehicles are more secure and comfortable in mobility systems such as the movement of people or goods. We will build a deep neural network model that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles .This model we have tested it and resulted in 95% accuracy. 
Keywords: CNN, Automation Testing Tools, Automated testing, Test Automation, Artificial intelligence, Sensor fusion.