Based on machine learningAutonomous car using raspberry-pi.

Abstract

In this paper we discuss about the design of Autonomous car based on machine learning using raspberry pi. Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Using this concept of machine learning, a car can be automated (self driving). We train the car with specific images and whenever it detects the trained images, it operates according to the trained instruction. The microcontroller used in the car is raspberry pi which is used to control the L298 driver, ultrasonic sensor and the raspberry pi camera. We use different components like pi camera which is used to train and detect the objects, L298 driver which operates the dc motor and the ultrasonic sensor to calculate the distance. This autonomous car is the prototype to the self driving cars which is the present growing advanced technology in the present scenario.

Authors and Affiliations

K. N. V. Satyanarayana, B. Tapasvi, P. Kanaka Raju, G. Ramesh Babu

Keywords

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  • EP ID EP393227
  • DOI 10.9790/9622-0712057682.
  • Views 139
  • Downloads 0

How To Cite

K. N. V. Satyanarayana, B. Tapasvi, P. Kanaka Raju, G. Ramesh Babu (2017). Based on machine learningAutonomous car using raspberry-pi.. International Journal of engineering Research and Applications, 7(12), 76-82. https://europub.co.uk/articles/-A-393227