Open AccessFPGA BASED SELF-DRIVING CAR WITH MACHINE VISION BACKGROUND
Author(s) -
Reeju Elisa Baby,
Leah Sibi,
Lija Mariam Biju,
Sahi Ann George,
Shalu Shaji
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v05i05.021
Subject(s) - self driving , field programmable gate array , computer science , embedded system , physical medicine and rehabilitation , medicine , automotive engineering , engineering
Advancement in automotive technology has got its attraction due to self-driving and electric vehicles. In this paper we are designing and Prototyping of a Fully Autonomous Car Using Machine Vision with help of Open Computer Vision software library Open CV and Xilinx FPGA. The main aim of our project is to make Fully Autonomous Car using commercially available and reliable Components and Open source Software libraries. This could save huge cost and dependency requirements. In this project we are proposing a system with Computer Vision Deep-learning that make use of a camera along with video processing unit to guide the car and make it a safer option to ride. Images captured by the camera would be sent to the real world with the help of Xilinx FPGA. By using this technology, it is made free from depending on the Custom component manufacturers and also provides a much faster time to the production level. It is very cost saving to user as affordable pricing with additional benefits of safety traffic to public. Keywords— Raspberry Pi, FPGA, Master Control facility, Camera Module, MasterSlave, Self-Driving Car