Development of a Low-Cost Autonomous Vehicle System Using COTS for Obstacle Detection and Collision Avoidance

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dc.contributor.advisorDr. Shahnewaz Siddique
dc.contributor.authorAbrar Mahir Uddin Sahil
dc.contributor.authorNuzhat Jabeen Haque
dc.contributor.id2013786043
dc.contributor.id2031730643
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2026-08-16
dc.date.accessioned2026-08-16T07:45:37Z
dc.date.available2026-08-16T07:45:37Z
dc.date.issued2024-04
dc.description.abstractIn response to the prevalent issue of traffic accidents in Bangladesh, a low-cost autonomous vehicle prototype is developed utilizing readily available resources. In this study, we explore the feasibility of low-cost autonomous vehicles in reducing traffic accidents prevalent in Bangladesh, where an average of 11 accidents occur daily. The prototype utilizes an Arduino UNO microcontroller, an ESP32 WiFi camera module, and a combination of sensors, like, an ultrasonic sensor and servo motor, for obstacle detection and collision avoidance. Sensor fusion techniques allow the system to identify everyday objects, such as water bottles, furniture, and electronics, using datasets trained via Edge Impulse software. Additionally, YOLOv3 and OpenCV software contribute to object identification. This resource-efficient approach presents a potentially viable solution for enhancing road safety in developing nations.
dc.description.degreeUndergraduate
dc.identifier.cd600000701
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1732
dc.language.isoen_US
dc.publisherNorth South University
dc.rights@ NSU Library
dc.titleDevelopment of a Low-Cost Autonomous Vehicle System Using COTS for Obstacle Detection and Collision Avoidance
dc.typeProject
oaire.citation.endPage40
oaire.citation.startPage1
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