<\/p>\n\n\n
Date and time: <\/strong>June 21, 2022, 9:00-17:00 h (full day) *** cancelled ***<\/p>\n\n\n\n Organizers and Presenters<\/strong><\/p>\n\n\n\n YangQuan Chen<\/a> Kimon P. Valavanis<\/a> Derek Hollenbeck<\/a> Haoyu Niu<\/a> Tutorial Summary<\/strong><\/p>\n\n\n\n During the Drones: Technology, Policy and Society<\/a> Workshop organized jointly by CITRIS and Honeywell at UC Berkeley on Oct. 25, 2018, one of the invited panelists and speakers Brad Westphal, then senior director of Honeywell, introduced the company\u2019s end-to-end inspection and data analytics services using small UAVs. While the program primarily serves aircraft, renewables and oil and gas companies, Westphal addressed the scale needed to improve safety and lower costs across commercial industries. \u201cWithin each one of these businesses, there are opportunities for drones and UAVs to provide efficiency and extract value,\u201d he says. In his talk, he suggested that drones should be used as edge devices. A full recorded talk can be accessed from this link: UAV experts present the latest in drone tech<\/em><\/a>.<\/p>\n\n\n\n This has sparked a new wave of\ndevelopment regarding drones as edge devices. Edge computing devices are\neverywhere with considerable computing power that can be employed to run\ncomplex algorithms to perform different applications. As the edge computing\npower increases, Artificial Intelligence (AI) algorithms can be embedded in the\nedge devices. With Edge AI, introducing Real-Time data analytics to a drone\napplication is possible without depending on a centralized server to perform\nthe corresponding analysis and visualization tasks. Thus, drones can be used in\nindustry settings not only as moving sensors for inspection, but also as local\nintelligent data processor and prognostic tool. Edge AI for UAVs\/UASs opens new\npossibilities to expand the processing capabilities on industry settings,\ncontributing to growing Industry 4.0 automation, analysis, and data-based\nprocess. <\/p>\n\n\n\n Topics covered<\/strong><\/p>\n\n\n Intended audience<\/strong><\/p>\n\n\n\n This Tutorial is suitable for graduate students, researchers, scientists and engineers, practitioners, end-users and developers interested in autonomous UAVs. The collective outcome of the Tutorial is an understanding of what may be achieved when autonomous UAVs are treated or regarded as edge devices with edge AI embedded. <\/p>\n\n\n\n Tutorial material<\/strong><\/p>\n\n\n\n Participants will receive detailed presentations and papers.<\/p>\n\n\n\n References<\/strong><\/p>\n\n\n\n <\/p>","protected":false},"excerpt":{"rendered":" T4: Drones as Edge Devices: Challenges, Technologies, and Applications Date and time: June 21, 2022, 9:00-17:00 h (full day) *** cancelled *** Organizers and Presenters YangQuan ChenDirector, Mechatronics, Embedded Systems and Automation Lab (MESA Lab)Professor, Dept. of Mechanical EngineeringSchool of Engineering, University of California, Merced, CA, USA Kimon P. ValavanisDirector, Research and InnovationD. F. Ritchie…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/pages\/824"}],"collection":[{"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/comments?post=824"}],"version-history":[{"count":16,"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/pages\/824\/revisions"}],"predecessor-version":[{"id":2579,"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/pages\/824\/revisions\/2579"}],"wp:attachment":[{"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/media?parent=824"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Director, Mechatronics, Embedded Systems and Automation Lab (MESA Lab)
Professor, Dept. of Mechanical Engineering
School of Engineering, University of California, Merced, CA, USA <\/p>\n\n\n\n
Director, Research and Innovation
D. F. Ritchie School of Engineering and Computer Science
University of Denver, CO, USA<\/p>\n\n\n\n
Mechatronics, Embedded Systems and Automation Lab (MESA Lab)
Dept. of Mechanical Engineering
School of Engineering, University of California, Merced, CA, USA<\/p>\n\n\n\n
Mechatronics, Embedded Systems and Automation Lab (MESA Lab)
Electrical Engineering and Computer Science Graduate Program
School of Engineering, University of California, Merced<\/p>\n\n\n\n\n