Design And Implementation Of Vehicle Parallel Front Sensing System Using FPGA For Parking Assistance And Possible Collision Alert

Rozaini, Muhammad Adli Haziq (2018) Design And Implementation Of Vehicle Parallel Front Sensing System Using FPGA For Parking Assistance And Possible Collision Alert. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Design And Implementation Of Vehicle Parallel Front Sensing System Using FPGA For Parking Assistance And Possible Collision Alert.pdf - Submitted Version Download (559kB)

Abstract

Nowadays, road accidents often occur that cause injuries and deaths. Every year the rate of road accidents increases. There are several factors that cause road accidents such as sudden braking and driving too close to the front of the vehicle. The attitude of selfish and careless drivers is a major factor in the occurrence of road accidents. Therefore, this project proposed the development of an algorithm capable of giving an indicator or signal to the driver using a sensor to detect the distance between the sensor with the object or the vehicle in front. This algorithm has 2 modes namely driving mode and parking mode. Driving mode works by detecting the rate of change of distance between the sensor and the front of the vehicle and also detects the safe distance between the two vehicles. While in parking mods it work to detect the safe distance between the sensor and the vehicle or object that is in front to prevent or reduce the damage caused by the collision. Components that have been used to run this project are FPGA board, buzzers, LEDs and ultrasonic sensors used as detector distances. The programming language used in this project is Verilog while the software used for this project is Altera Quartus II. This project has been successfully implemented and all objectives have been achieved.

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