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dc.contributor.advisor Bieszczad, Dr. Andrzej en
dc.contributor.author Kaiser, Michael en
dc.date.accessioned 2017-05-17T16:49:29Z en
dc.date.available 2017-05-17T16:49:29Z en
dc.date.issued 2017-05 en
dc.identifier.uri http://hdl.handle.net/10211.3/191290 en
dc.description.abstract Unmanned Aerial Vehicle (UAV) are a booming subject of research as their impact on our lives increase as they become smaller and cheaper to produce. Recent advances in technology and theory in this field is leading to their ubiquitous use in everyday life for recreational, search and rescue, economic, political, and scientific applications. The CI Rainbow project, which places a wireless sensor network connected to the cloud on Santa Rosa Island, can benefit greatly from these advances. The Parrot AR Drone 2.0 has hit the price point of being an effective tool for exploring the use of drones for autonomous flights in response to a system generated event, and can be a valuable tool for increasing the depth and quality of research possible by the CI Rainbow project. Integration of drones into the sensor-net adds the capability of autonomously surveilling the environment of a targeted location on the Santa Rosa Island. The ability to respond to a system event that may indicate a fire, flood, or the monitoring and tracking of a difficult to follow animal is an obvious boon to project’s goal of studying the island. This thesis paper will break down in detail how an unmanned aircraft system works, how UAVs have been integrated into the CI Rainbow project, and cover in detail the issues that have been run into integrating this technology, provide a look at the recent research into drone capabilities which allow it to overcome some limitations imposed by the environment. Use of the open source Paparazzi autopilot software with the AR Drone 2.0 to implement such a drone will be discussed, and an implementation of some of these technologies will be provided to demonstrate the feasibility of such a project. en
dc.format.extent 52 en
dc.language.iso en_US en
dc.publisher California State University Channel Islands en
dc.subject Computer Science Thesis en
dc.subject Autonomous Drone en
dc.subject UAV Events en
dc.title Autonomous Drone Flights in Response to System Events en
dc.type Thesis en
dc.contributor.committeeMember Isaacs, Dr. Jason en
dc.contributor.committeeMember Gradinarski, Dr. Radik en
dc.contributor.committeeMember Berg, Dr. Gary en


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