Development Of Vehicle Blind Spot Detection System Using FPGA

Abdul Wahab, Muhammad Azam (2018) Development Of Vehicle Blind Spot Detection System Using FPGA. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, road accident often occur regardless of whether on highways or normal roads in most countries. Every year road accident was increased and become critical at one of stage. There are several factor that cause road accident such as blind spot on vehicle that are trying to bypass a car or changing lane. This problem occur because of human error that does not follows regulation while driving. Therefore, this project has been develop to overcome this issue. This project will create an algorithm that capable to give an indicator or signal to the driver by using sensor to detect the distance between object and vehicle at the blind spot of a car. This algorithm has two section which are for left signal and right signal that are controlled by separate sensor. The sensor will be place on each side of blind spot area of a vehicle. Once the sensor are active, it will detect the distance between an object that inside the blind spot area and will alert driver whether the distance are safe to change lanes or not. The component that has been used to run this project are FPGA board, ultrasonic sensor and LED. The programming language that has been used in this project is Verilog and the software are Altera Quartus II. This project was successfully implemented and all the objective has been achieved.

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