Real-time object detection by cameras mounted on mobile robots on campus

Real-time object detection by cameras mounted on mobile robots on campus

This dissertation aims to identify and apply campus popularization objectives and strengthen campus management and security. Because most of the detection is for vehicles and pedestrians which often requires high accuracy and real-time performance. This dissertation uses the YOLOv5 algorithm, which...

Полное описание

Библиографические подробности
Главный автор:	Xu, Haozhe
Другие авторы:	Zheng Yuanjin
Формат:	Thesis-Master by Coursework
Язык:	English
Опубликовано:	Nanyang Technological University 2025
Предметы:	Engineering Object detection YOLOv5
Online-ссылка:	https://hdl.handle.net/10356/182176

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