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