Drone Platform for Safety in Autonomous Vehicle Testing/ Drönarplattform för säkerhet vid testning av autonoma fordon
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Typ
Examensarbete på kandidatnivå
Bachelor Thesis
Bachelor Thesis
Program
Publicerad
2024
Författare
Eddin Bilal, Mohi
Ferreira, Daniel
Mörck, David
Sandström, Filip
Svenske, Albin
Särnholm, Andreas
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Abstract
his report details the development and implementation of an automated drone-based surveillance system for use at the AstaZero testing facility for autonomous vehicles. The system visually detects objects present at the test location and compares their position to the positions given by ATOS. If a deviation is deemed to indicate a hazardous situation, the system sends a signal to warn the test supervisor of the hazard. To bring this system into action, an Android application was developed to strategically position the drone over the test area, ensuring comprehensive monitoring and the ability to capture all test objects within its field of view. The captured footage is then transmitted to a computer for object detection, using a custom-trained YOLOv8 model. To enable the computer to communicate with ATOS in order to retrieve test specifications and send warnings, a communication application was also developed. Further specification and research into the classification of hazardous situations is required to get a system that accurately achieves the goal of an automated system.
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Ämne/nyckelord
Keywords: Object Detection, App Development, Drone, UAV, Autonomous Vehicle Testing, Surveillance, Test Safety, ROS2, ATOS, AstaZero, YOLO