An Approach to Semi-Autonomous Indoor Drone System: Software Architecture and Integration Testing

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.

Name thesis:degree_name

M.S. in Engineering Science

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer and Information Science

Year dc:date.available

2019

Author dc:creator

• Singh, Shobhan

Contributors dc:contributor

• Byunghyun Jang
• Conrad Cunningham
• Feng Wang

• Autonomy
• Drone System
• Integration Testing
• Sensor Integration
• Software Stack
• Computer Sciences

Repository record dc:identifier

https://egrove.olemiss.edu/etd/1592

OAI identifier oai:identifier

oai:egrove.olemiss.edu:etd-2591