Al-Akhir Nayan1, Md. Obaidur Rahman2, Ahamad Nokib Mozumder1, Mohammod Abul Kashem3
1 Lecturer, Dept. of CSE, European University of Bangladesh, Dhaka, Bangladesh.
2 Associate Professor & Chairman, Dept. of CSE, Asian University of Bangladesh, Dhaka, Bangladesh.
3 Professor, Dept. of CSE, Dhaka University of Engineering & Technology (DUET), Gazipur.
2 Associate Professor & Chairman, Dept. of CSE, Asian University of Bangladesh, Dhaka, Bangladesh.
3 Professor, Dept. of CSE, Dhaka University of Engineering & Technology (DUET), Gazipur.
ArXiv Identifier: arXiv:2006.0079v2 [cs.RO]
Abstract
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.
Index Term: Fully automated robotic vehicle, Collusion avoiding agent, Realtime image objects identification.