Faculty Advisor

Cowlagi, Raghvendra V.


This project involves the design of a vision-based navigation and guidance system for a quadrotor unmanned aerial vehicle (UAV), to enable the UAV to follow a planned route specified by navigational markers, such as brightly colored squares, on the ground. A commercially available UAV is modified by attaching a camera and an embedded computer called Raspberry Pi. An image processing algorithm is designed using the open-source software library OpenCV to capture streaming video data from the camera and recognize the navigational markers. A guidance algorithm, also executed by the Raspberry Pi, is designed to command with the UAV autopilot to move from the currently recognized marker to the next marker. Laboratory bench tests and flight tests are performed to validate the designs.


Worcester Polytechnic Institute

Date Accepted

March 2016


Aerospace Engineering

Project Type

Major Qualifying Project



Advisor Department

Mechanical Engineering