Small unmanned aerial vehicles (UAVs) have garnered much attention in recent years because of their potential in a variety of civilian applications, such as aerial vieography, surveying, remote sensing, and wireless connectivity and location. Much of this excitement stems from technology advancement in areas such as low-cost computation platforms, small form factor sensors (inertial, GPS, lidar, etc), and miniaturized timing units.
We have assembled a team of undergraduate and graduate students to investigate various aspects of small UAV technologies. Of particular interest to us are the following topics:
UC Davis is part of the Federal Aviation Association’s (FAA) Center of Excellence for UAV Research (ASSURE).
Contact Dr. Liu (email@example.com) if you are interested in joining the team.
Minjie Zhu and Samuel Cheung, “Autonomous Collision Avoidance For Small Unmanned Aerial Vehicles”. This project was an initial exploration of using small lidar sensors for UAV collision avoidance.
Christopher Bird, Shalmali Joshi, Lindsey Raven, Angela Tobin, “Computer vision based UAV navigation”. Here is a link to their final test video. Unfortunately the UAV platform was not functioning well towards the end and they were not able to do a real flight test. Instead they hold the quadcopter frame and “simulated” a flight test by personally moving the frame according to the instruction of the processor.