Artificial Intelligence

   

Fully Automated Robotic Vehicle with Real Time Image Detection and Collusion Avoiding Features

Authors: Al-Akhir Nayan, Md. Obaidur Rahman, Ahamad Nokib Mozumder, Mohammod Abul Kashem

Due to the simplicity and capability to alter according to our requirements, the robotics and automation are being used widely in industries. The scheme is aimed to assemble an automatic vehicle by using GPS, which is depended on computer to generate its path coordinate. GPS module is utilized to collect GPS data. The mobile camera encounters the obstacles, machine learning algorithm assists to avoid it and performs real time object detection. The automobile uses the electric motors to spin wheels and has full control of the throttle, steering and breaking. An Arduino device pilots the vehicle following the instructions generated by the computer. Traffic has increased by quite a huge number. Excessive number of vehicles leads to large number of vehicle accidents every day. Driver issue is also a great difficulty. The ultimate goal of this work is to minimize the possibilities of accidents and to ensure the safety of the passengers. Thus, the vehicles will be useful for blind and handicraft people. But serving this device to the military is the main target so that they can get benefit at the time of danger. The motorized vehicle includes sensors to observe the surroundings. Besides, it can be managed by human beings, manually.

Comments: 13 Pages. Published in Multidisciplinary Journal of European University of Bangladesh, 5(1), 2020 [Corrections made by viXra Admin to conform with the guidelines of viXra.org]

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Submission history

[v1] 2020-06-08 21:46:11
[v2] 2021-02-18 16:44:18

Unique-IP document downloads: 331 times

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