Date of Award
2019
Document Type
Thesis
Degree Name
M.S. in Engineering Science
Department
Computer and Information Science
First Advisor
Byunghyun Jang
Second Advisor
Conrad Cunningham
Third Advisor
Feng Wang
Relational Format
dissertation/thesis
Abstract
To address these problems, we establish a semi-autonomous functionality by removing the RC transmitter, and remotely connecting the Drone System to track status and executing user-based input commands. In order to resolve the limitation in hardware connections on the Flight Controller, we integrated the sonar sensor into a companion computer, from where the data is continuously fed to an embedded system through MAVLink (Micro Aerial Vehicle Link) network communication protocol. In this study, we also implemented a modular architecture which enables scalable integration of sensor modules into the Drone System to streamline the process of development, deployment, testing and debugging.
Recommended Citation
Singh, Shobhan, "An Approach to Semi-Autonomous Indoor Drone System: Software Architecture and Integration Testing" (2019). Electronic Theses and Dissertations. 1592.
https://egrove.olemiss.edu/etd/1592