Over the past decades, unmanned aerial vehicle (UAV) has been developing rapidly. The UAV can fly above most open area easily and understand the situation immediately. In this study, a restricted area that need to be controlled for 24 hours, the use of UAV with the thermal camera can be more efficient. This study applies thermal sensor fusion of an UAV for path planning, obstacle avoidance, and image processing for outdoor patrol. An UAV can follow a predefined path and search human target by thermal camera. Once the target is found, the UAV hovers above the object. Simultaneously, the location will be sent back to the control center. In the environment with known obstacles, the study uses the A* algorithm for path planning. For unknown obstacles, the UAV utilizes the depth camera and ultrasonic module to detect the obstacles. The FLIR DUO-R thermal camera is used to detect surroundings and checks whether if there is any desired target. About the image processing, the deep learning algorithm YOLOv3 is applied to identify human shape. Success detection rates of single object and multiple objects are both high accuracy.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.