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Autonomous Driving Car

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dc.contributor.advisor Abu Gharbieh, Elayan
dc.contributor.author Arafa, Momin
dc.contributor.author Himoony, Qasam
dc.contributor.author Salhab, Tamim
dc.date.accessioned 2025-08-26T09:00:58Z
dc.date.available 2025-08-26T09:00:58Z
dc.date.issued 2025-06-01
dc.identifier.uri scholar.ppu.edu/handle/123456789/9237
dc.description no of pages 57, هندسة حاسوب 2/2025
dc.description.abstract The alarming rise in road accidents requires innovative solutions to prioritize driver and pedestrian safety. Cruise Master, an intelligent car system that uses object detection based on deep learning, represents a significant advancement in autonomous driving technology. This project aims to revolutionize travel by enabling safe and reliable journeys from one location to another. Cruise Master is built on a compact car platform equipped with essential components for autonomous navigation. It features a DC motor to control movement, a servo motor for precise steering adjustments, and a camera to capture real-time environmental data. Additionally, an ultrasonic sensor enhances object detection by measuring distances to nearby obstacles. These components work together, enabling Cruise Master to analyze its surroundings, detect objects, and make informed driving decisions with accuracy. When encountering obstacles, Cruise Master puts safety first by stopping the vehicle directly at a safe distance to avoid collision. This ensures a clear path before autonomously navigating to the destination. Cruise Master promotes a reliable and safe driving experience for everyone, contributing to a future with significantly reduced road accidents. en_US
dc.language.iso en en_US
dc.publisher جامعة بوليتكنك فلسطين - هندسة حاسوب en_US
dc.subject Autonomous Driving Cars en_US
dc.title Autonomous Driving Car en_US
dc.type Other en_US


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