Development of blind spot detection system for heavy vehicle

Muhammad Sabri, Muhammad Arif Lukman (2024) Development of blind spot detection system for heavy vehicle. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Vehicle accidents often occur along the roadway due to machine and human factors. Compared to all types of vehicle accidents, accidents involving heavy vehicles are more likely to be fatal than others. There are various aspects that affect driver injuries and fatalities. This thesis elaborates on the development of blind spot detection for heavy vehicles by implementation of simulation based data in creating a device that is able to detect a vehicle passing or staying inside the blind spot of heavy vehicles, especially those with bigger sizes affecting their blind spot area, thus increasing the hazard while driving or being near it. Vehicle Blind Spot Detector (VBSD) for heavy vehicles uses a microcontroller, receiver, and actuator to provide a system that enables it to recognise heavy vehicle blind spots and detect a vehicle. The condition of the blind spot varies in size, turning, and the normal condition of a heavy vehicle. The blind spot, also known as "no zones," was divided into front, rear, and sides. However, the sides determine whether the driver was left-hand drive (LHD) or right-hand drive (RHD). Based on research, there is higher visibility on the driver side than the passenger side. Therefore the simulation propose a left side sensor positioning. The driver must be extra careful to avoid any unwanted collision with another vehicle when making an action, including speeding, slowing, and lane changing. The front side is predicted to be 20 feet from the front bumper and 30 feet from the rear bumper or trailer in managing the blind spot area. The idea was developed through computer simulations, and test results were used to confirm it. The device's effectiveness is limited to addressing unsafe motions that develop gradually, such as those seen during on-ramp manoeuvres, due to its passive nature, which necessitates the driver taking corrective action. Truck Sim by Mechanical Simulation offers a procedure related to blind spot detection in ADAS category in determining the blind spot of a truck. Then embed the data into MATLAB/Simulink to propose a way to create a algorithm to send into a microcontroller to be a blind spot detection device. By using Arduino Due as a microcontroller and an ultrasonic sensor HC-SR04 as the sensor that transmitted a wave to the object and reflected back to receive the duration of the signal transferred and thus calculate the distance of the object, an indicator warning and a buzzer worked as a warning signal for the driver. Truck Sim provides full-working simulation of a real-time mechanical simulation that is suitable for obtaining result. This software create procedure technique to determine the quickest time response for sensor detection was offered by prior researchers. The blind spot detection system for heavy vehicles simulates the optimum placement of sensors based on data gathered from accidents involving blind spots and the experimental sensor position on the heavy vehicle body. Therefore, we will determine the optimum position for sensor and analyze blind spot detection system configuration. The capability to run software simulation enables researchers to minimise cost and list out test findings before fabricating and creating the hardware of the VBSD, which greatly lowers blind spot accidents.

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