Project SkyHawk: Parking Assistant Drone SystemYifan Xu, Yanjie Xu, Yan Zhang, Weibo Hong
Professor Rainer Doemer Department of Electrical Engineering and Computer Science
System Hierarchy
Progress1. OpenCV: Apply Canny Edge Detection and Hough
Line Transform to detect parking stalls.
2. Mobile Phone Application UI design fixed
Logic module is in development process
3. UROP Proposal Submitted and Parts Purchased
ApproachWe use OpenCV to process photos and label all the available spaces based on the
result. The expected system should be composed of three parts:
1. A drone that can take top-view photos at 350 ft height and send back images
through WiFi channel.
2. A ground station that can provide local
WiFi network, receive and process the
photos from the drone, and send results
to the mobile phone app.
3. A mobile application that can display
processed result, let user choose which
empty stall to park, and provide live
navigation to that specific parking stall.
Objectives and GoalsAt UCI, parking brings both students and faculties a lot of inconvenience every
day. To solve this problem, we are going to design a drone that can automatically
fly above the targeted parking lot, take pictures, find available parking stalls and
guide our users to those stalls through the most convenient path.
Timeline