Drone platform for safety in testing

dc.contributor.authorArshad, Abdullah
dc.contributor.authorBoisen, Arvid
dc.contributor.authorEriksson, Jesper
dc.contributor.authorForsell, Viggo
dc.contributor.authorHallander, Albin
dc.contributor.authorRödin, Erik
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.departmentChalmers University of Technology / Department of Electrical Engineeringen
dc.contributor.examinerÅkesson, Knut
dc.contributor.supervisorDean, Emmanuel
dc.contributor.supervisorEnelund, Mikael
dc.contributor.supervisorBrenick, Robert
dc.date.accessioned2025-06-19T12:58:25Z
dc.date.issued2025
dc.date.submitted
dc.description.abstractThis thesis addresses the need for improved safety surveillance in autonomous vehicle testing by developing a drone platform for multiple drones. Extending single drone systems, this work focuses on coordinating multiple drones to provide wider area coverage at testing facilities. The backend of the developed system calculates drone positions based on test trajectories from ATOS, an open-source platform for automated vehicle testing, ensuring required sensor overlap. Real-time video is streamed from DJI drones via an Android app using Web Real Time Communication to a backend system. The backend processes the streams, performs image stitching to create a panoramic view, and applies object detection with estimated GPS coordinates for bikes, cars, and pedestrians. A web-based frontend allows users to monitor individual and merged video feeds, view detected objects, and control the drones. The system architecture is containerized using Docker. Experimental validations demonstrate the platform’s ability to control drones, stream video in realtime, and provide extended surveillance with object detection. Key challenges and future improvements, including addressing hardware dependencies and automating configuration, are identified. The project represents a collaborative effort between Chalmers University of Technology and Pennsylvania State University.
dc.identifier.coursecodeEENX16
dc.identifier.urihttp://hdl.handle.net/20.500.12380/309573
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectDrone Surveillance
dc.subjectAutonomous Vehicle Testing
dc.subjectMulti-Drone Systems
dc.subjectObject Detection
dc.subjectYOLO
dc.subjectWebRTC
dc.subjectImage Stitching
dc.subjectATOS
dc.subjectAstaZero
dc.titleDrone platform for safety in testing
dc.type.degreeExamensarbete på kandidatnivåsv
dc.type.degreeBachelor Thesisen
dc.type.uppsokM2

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