Date of Award
12-2015
Document Type
Thesis
Degree Name
Master of Science (MS)
Legacy Department
Computer Engineering
Committee Chair/Advisor
Groff, Richard E
Committee Member
Walker, Ian D
Committee Member
Burg, Timothy C
Abstract
The main goal of this thesis is to develop a drone-based parking lot monitoring system using low-cost hardware and open-source software. Similar to wall-mounted surveillance cameras, a drone-based system can monitor parking lots without affecting the flow of traffic while also offering the mobility of patrol vehicles. The Parrot AR Drone 2.0 is the quadrotor drone used in this work due to its modularity and cost efficiency. Video and navigation data (including GPS) are communicated to a host computer using a Wi-Fi connection. The host computer analyzes navigation data using a custom flight control loop to determine control commands to be sent to the drone. A new license plate recognition pipeline is used to identify license plates of vehicles from video received from the drone.
Recommended Citation
Ganesh, Venkataraman, "Parking lot monitoring system using an autonomous quadrotor UAV" (2015). All Theses. 2293.
https://tigerprints.clemson.edu/all_theses/2293