Abstract
Unmanned aerial vehicles (UAVs) play a primary role in a plethora of technical and scientific fields owing to their wide range of applications. In particular, the provision of emergency services during the occurrence of a crisis event is a vital application domain where such aerial robots can contribute, sending out valuable assistance to both distressed humans and rescue teams. Bearing in mind that time constraints constitute a crucial parameter in search and rescue (SAR) missions, the punctual and precise detection of humans in peril is of paramount importance. The paper in hand deals with real-time human detection onboard a fully autonomous rescue UAV. Using deep learning techniques, the implemented embedded system was capable of detecting open water swimmers. This allowed the UAV to provide assistance accurately in a fully unsupervised manner, thus enhancing first responder operational capabilities. The novelty of the proposed system is the combination of global navigation satellite system (GNSS) techniques and computer vision algorithms for both precise human detection and rescue apparatus release. Details about hardware configuration as well as the system’s performance evaluation are fully discussed.
Highlights
Unmanned aerial vehicles (UAVs) technology demonstrates unprecedented levels of growth and influence in various scientific fields and research areas
The relentless motivation for image classification tasks based on deep learning and aerial images captured by UAVs has led to an abundance of research including vehicles [24,33,34], aerial vehicles [35,36,37,38,39], roads [40], buildings [41,42], cracks [43], birds [44], cattle [45], and wilt [46] detection
We focus on computational efficient computer vision algorithms; marine environment, under all lighting conditions
Summary
UAV technology demonstrates unprecedented levels of growth and influence in various scientific fields and research areas. The faster these operations are designed and executed, the greater the chances of success they get This application area can greatly benefit from aerial robots capable of detecting and rescuing humans facing dire straits in, mainly but , maritime critical events [1,2,3,4]. Notable research has been conducted for the GNSS precise point positioning (PPP) accuracy of portable devices such as smartphones, tested in both post-processing and real-time modes [11,12,13] The results of their positioning performance assessment compared to the geodetic receivers’ ones indicate that the utilization of multi GNSS systems data can effectively improve positioning performance, which is essential for missions in marine environments.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
