Small Scaled Autonomous Vehicle
Saumendra Kumar Mohanty1, Badri Narayan Sahoo2
1Saumendra Kumar Mohanty, Dept. of Electronics Communication Engineering, Siksha O Anusandhan Deemed to be University, Odisha, India.
2Badri Narayan Sahoo, Dept. of Electronics Communication Engineering, Siksha O Anusandhan Deemed to be University, Odisha, India.
Manuscript received on 13 September 2019 | Revised Manuscript received on 22 September 2019 | Manuscript Published on 11 October 2019 | PP: 911-914 | Volume-8 Issue-11S September 2019 | Retrieval Number: K116509811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1165.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents a self-driving car using low cost convolutional neural network based platform. The project replicates the real autonomous vehicle/car into a small scaled remote controlled (RC) car. The CNN (convolutional neural network) provides a high accuracy prediction. A small camera is mounted on the RC car for capturing real time video feed to firstly train and then to predict the direction. The camera provides video feed to the input layer of the CNN that has hidden layers, that analyzes and compute the data to predict the output from an output layer that tells rc car to move in predicted direction.
Keywords: GPU, convolutional neural network, grey scale
Scope of the Article: Advanced Computer Networking