{"id":768,"date":"2020-02-03T22:47:02","date_gmt":"2020-02-03T21:47:02","guid":{"rendered":"http:\/\/www.uasconferences.com\/2022_icuas\/?page_id=768"},"modified":"2022-06-18T13:19:13","modified_gmt":"2022-06-18T11:19:13","slug":"tutorial-t2-half-day","status":"publish","type":"page","link":"https:\/\/www.uasconferences.com\/2022_icuas\/tutorial-t2-half-day\/","title":{"rendered":"Tutorial T2 (half-day)"},"content":{"rendered":"<p><!--StartFragment--><\/p>\n\n\n<h3><strong>T2: Towards UAV-Based Airborne Computing: Applications, Design and Prototype<\/strong><\/h3>\n\n\n\n<p><strong>Date and time: <\/strong>June 21, 2022, 9:00-13:00 h (half day)  *** cancelled ***<\/p>\n\n\n\n<p><strong>Organizers and Presenters<\/strong><\/p>\n\n\n\n<p><a href=\"http:\/\/wanlab.uta.edu\" target=\"_blank\" rel=\"noreferrer noopener\">Yan Wan<\/a><br><em>Department of Electrical Engineering<\/em><br><em>University of Texas at Arlington, Arlington, TX, USA<\/em><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\"Dr. Kejie Lu  (opens in a new tab)\" href=\"http:\/\/ece.uprm.edu\/~lukejie\/\" target=\"_blank\">Kejie Lu <\/a><br><em>Department of Electrical and Computer Engineering<\/em><br><em>University of Puerto Rico at Mayag\u00fcez, Puerto Rico<\/em><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\"Dr. Shengli Fu (opens in a new tab)\" href=\"https:\/\/electrical.engineering.unt.edu\/people\/shengli-fu\" target=\"_blank\">Shengli Fu<\/a><br><em>Department of Electrical Engineering<\/em><br><em>University of North Texas, Denton, TX, USA<\/em><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/smile.sdsu.edu\/\" target=\"_blank\">Junfei Xie<\/a><br><em>Department of Electrical and Computer Engineering<\/em><br><em>San Diego State University, San Diego, CA, USA<\/em><\/p>\n\n\n\n<p><strong>Tutorial Summary<\/strong><\/p>\n\n\n\n<p>In recent years, unmanned aerial vehicles (UAVs) have attracted significant attention from industry, government, and academia. To design and implement future UAV systems and applications, researchers and engineers have been working on different UAV functions in domains, such as control, communications, networking, etc. While all these UAV functions require advanced onboard computing capabilities, they are usually designed separately and there is a lack of a general framework to exploit airborne computing for all onboard UAV functions. In this tutorial, the main objective is to address this timely and important issue by exploring a new and cross-disciplinary research area: UAV-based airborne computing. Specifically, we will first systematically analyze existing and emerging UAV applications and, then, demonstrate how airborne computing can help facilitate advanced UAV functions and UAV applications. Based on such analysis, we discuss and summarize important design guidelines for future generations of UAV systems with airborne computing capabilities. We also introduce our latest design of a general UAV-based airborne computing platform and demonstrate various applications using the computing prototype. Finally, we will invite the audience to participate in interactive experiments using our prototype, and we will discuss open issues and important future directions before concluding the tutorial.<\/p>\n\n\n\n<p><strong>Topics to be Covered<\/strong><\/p>\n\n\n\n<ul><li>Introduction: Market trend, regulation and policy, UAV applications, motivation for networked airborne computing.<\/li><li>Comprehensive analysis for UAV-based applications: Classification for UAV-based applications, a layered model for analysis and design including the mission, task, and function layers, computing-enabled UAV functions including control, communication, networking, and computing, and computing-enabled UAV applications.<\/li><li>A general UAV-based airborne computing platform: system overview, components including quadcopter, control, communication and computing, the prototypes, and computing-enabled UAV functions including reinforcement-learning based heading control, image processing based three-dimensional terrain map generation, deep-learning-based onboard object detection and coded distributed computing.<\/li><li>Interactive demonstrations of the latest networked airborne computing prototype including processor and carrier board, directional antenna system, virtualization technologies, and software defined radio and advanced UAV functions.<\/li><li>Summary, discussion, and feedback.<\/li><\/ul>\n\n\n\n<p><strong>Intended\nAudience<\/strong><\/p>\n\n\n\n<p>Students, researchers, and developers interested in development of advanced UAV functions and novel UAV applications, with a background in aerospace, control, communication, networking, or computing.<\/p>\n\n\n\n<p><strong>Tutorial References<\/strong><\/p>\n\n\n\n<ul><li>Baoqian Wang, <strong>J. Xie<\/strong>, <strong>K. Lu<\/strong>, <strong>Y. Wan<\/strong>, and <strong>S. Fu<\/strong>, \u201cOn Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems,\u201d IEEE Transactions on Network of Science and Engineering, accepted 2021.<\/li><li>Wang, B. Wang, J. Zhang, <strong>K. Lu<\/strong>, <strong>J. Xie<\/strong>, <strong>Y. Wan<\/strong>, and <strong>S. Fu<\/strong>, \u201cCFL-HC: A Coded Federated Learning Framework for Heterogeneous Computing Scenarios,\u201d accepted at Globecom, December 2021.<\/li><li>B. Wang, J. Xie, <strong>K. Lu<\/strong>, <strong>Y. Wan<\/strong>, and <strong>S. Fu<\/strong>, \u201cMulti-Agent Reinforcement Learning based Coded Computation for Mobile Ad Hoc Computing,\u201d in Proceedings of at 2021 IEEE International Conference on Communications (ICC): SAC Cloud Computing, Networking and Storage Track, January 2021.<\/li><li>Airborne Computing Networks Project Website (NSF Projects 1730675, 1730589, 1730570, 1730325) http:\/\/www.uta.edu\/utari\/research\/robotics\/airborne\/index.php<\/li><li>M. Liu, <strong>Y. Wan<\/strong>, F. Lewis, and V. Lopez, \u201cAdaptive Optimal Control for Stochastic Multi-Agent Differential Games using On-Policy and Off-Policy Reinforcement Learning,\u201d IEEE Transactions Neural Networks and Learning Systems, vol. 31, no. 12, pp. 5522-5533, December 2020.<\/li><li>B. Wang, <strong>J. Xie<\/strong>, S. Li, <strong>Y. Wan<\/strong>, Y. Gu, <strong>S. Fu<\/strong>, and <strong>K. Lu<\/strong>, \u201cComputing in the Air: An Open Airborne Computing Platform,\u201d IET Communications, vol. 14, no. 15, pp. 2410-2419,&nbsp;September 2020.<\/li><li>M. Liu, <strong>Y. Wan<\/strong>, S. Li, <strong>F. Lewis<\/strong>, and <strong>S. Fu<\/strong>, \u201cLearning and Uncertainty-exploited Directional Antenna Control for Robust Long-distance and Broad-band Aerial Communication,\u201d IEEE Transactions on Vehicular Technologies, vol. 69, no. 1, pp. 593-606, January 2020.<\/li><li><strong>K. Lu<\/strong>, <strong>J. Xie<\/strong>, <strong>Y. Wan<\/strong>, <strong>Shengli Fu<\/strong>, \u201cTowards UAV-Based Airborne Computing,\u201d IEEE Wireless Communications Magazine, Vol. 26, No. 6, pp. 172-179, Dec. 2019.<\/li><li><strong>J. Xie<\/strong>, <strong>Y. Wan<\/strong>, B. Wang, <strong>S. Fu<\/strong>, and J. H. Kim, \u201cA Comprehensive 3-Dimensional Random Mobility Modeling Framework for Airborne Networks,\u201d IEEE Access, vol. 6, pp. 22849 \u2013 22862, March 2018.<\/li><li>S. Li, C. He, M. Liu, <strong>Y. Wan<\/strong>, Y. Gu, <strong>J. Xie<\/strong>, <strong>S. Fu<\/strong>, and <strong>K. Lu<\/strong>, \u201cDesign and Implementation of Aerial Communication Using Directional Antennas: Learning Control in Unknown Communication Environment,\u201d IET Control Theory and Application, vol. 13, no. 17, pp. 2906-2916, November 2019.<\/li><li>S. Li, Y. Gu, S. Bishrut, C. He, and <strong>Y. Wan<\/strong>, \u201cBeyond Visual Line of Sight UAV Control for Remote Monitoring using Directional Antennas,\u201d in Proceedings of IEEE GLOBECOM 2019 Workshop on Computing-Centric Drone Networks, Waikoloa, Hawaii, December 2019.<\/li><li>B. Wang, <strong>J. Xie<\/strong>, <strong>K. Lu<\/strong>, <strong>Y. Wan<\/strong>, and <strong>S. Fu<\/strong>, \u201cCoding for Heterogeneous UAV-based Networked Airborne Computing,\u201d in Proceedings of IEEE GLOBECOM 2019 Workshop on Computing-Centric Drone Networks, Waikoloa, Hawaii, December 2019.<\/li><li>Y. Qi, D. Wang, <strong>J. Xie<\/strong>, <strong>K. Lu<\/strong>, <strong>Y. Wan<\/strong>, and <strong>S. Fu<\/strong>, \u201cBirdsEyeView: Aerial View Dataset for Object Classification and Detection,\u201d in Proceedings of IEEE GLOBECOM 2019 Workshop on Computing-Centric Drone Networks, Waikoloa, Hawaii, December 2019.<\/li><li>M. Liu, <strong>Y. Wan<\/strong>, S. Li, F. Lewis, \u201cLearning and Uncertainty-Exploited Directional Antenna Control for Robust Aerial Networking,\u201d in Proceedings of IEEE Vehicle Technology Conference, accepted, Honolulu, Hawaii, September 2019.<\/li><li>M. Pinheiro, M. Liu, <strong>Y. Wan<\/strong> and A. Dogan, \u201cOn the Analysis of On-board Sensing and Off-board Sensing through Wireless Communication for UAV Path Planning in Wind Fields,\u201d in Proceedings of AIAA Schitech, San Diego, CA, January 7-11, 2019.<\/li><li>B. Wang, <strong>J. Xie<\/strong>, and <strong>Y. Wan<\/strong>, \u201c3-D Trajectory Modeling for Unmanned Aerial Vehicles\u201d, in Proceedings of AIAA Scitech, San Diego, CA, January 7-11, 2019.<\/li><li>L. Yao, <strong>Y. Wan<\/strong>, <strong>S. Fu<\/strong>, and T. Yang, \u201cConsensus in Layered Sensor Networks with Communication Delays,\u201d in Proceedings of 15th International Conference on Control, Automation, Robotics and Vision, Singapore, November 18-21, 2018.<\/li><li><strong>J. Xie<\/strong>, S. Li, <strong>Y. Wan<\/strong>, <strong>S. Fu<\/strong>, and <strong>K. Lu<\/strong>, \u201cEnabling High-Performance Onboard Computing with Virtualization for Unmanned Aerial Systems\u201d, in Proceedings of the 2018 International Conference on Unmanned Aircraft Systems (ICUAS&#8217;18), Dallas, TX, June 12-15, 2018.<\/li><li>J. Chen, <strong>J. Xie<\/strong>, Y. Gu, S. Li, <strong>S. Fu<\/strong>, <strong>Y. Wan<\/strong>, and <strong>K. Lu<\/strong>, \u201cLong-Range and Broadband Aerial Communication Using Directional Antennas (ACDA): Design and Implementation\u201d, IEEE Transactions on Vehicular Technology, Vol. 66, No. 12, pp. 10893-10805, December 2017.<\/li><li>S. Li, M. Liu, C. He, <strong>Y. Wan<\/strong>, Y. Gu, <strong>J. Xie<\/strong>, <strong>S. Fu<\/strong>, and <strong>K. Lu<\/strong>, \u201cThe Design and Implementation of Aerial Communication Using Directional Antennas: Learning Control in Unknown Communication Environment,\u201d IET Control Theory and Application, January 2019. &nbsp;<\/li><li>B. Wang, <strong>J. Xie<\/strong>, S. Li, <strong>Y. Wan<\/strong>, <strong>S. Fu<\/strong>, and <strong>K. Lu<\/strong>, \u201cEnabling High-Performance Onboard Computing with Virtualization for Unmanned Aerial Systems\u201d, in Proceedings of the 2018 International Conference on Unmanned Aircraft Systems (ICUAS&#8217;18), Dallas, TX, June 12-15, 2018.<\/li><li>M. Pinhero, M. Liu,<strong> Y. Wan<\/strong> and A. Dogan,&nbsp; \u201cOn the Analysis of On-board Sensing and Off-board Sensing through Wireless Communication for UAV Path Planning in Wind Fields,\u201d in Proceedings of AIAA Schitech, January 2019.<\/li><li>B. Wang, J. Xie, <strong>Y. Wan<\/strong>, \u201c3-D Trajectory Modeling for Unmanned Aerial Vehicles\u201d, in Proceedings of AIAA Scitech, January 2019.&nbsp;<\/li><li>L. Yao, <strong>Y. Wan<\/strong>, <strong>S. Fu<\/strong>, and T. Yang, \u201cConsensus in Layered Sensor Networks with Communication Delays,\u201d in Proceedings of 15th International Conference on Control, Automation, Robotics and Vision, Singapore, November 18-21, 2018.<\/li><li>V. Mejia, <strong>Y. Wan<\/strong>, F. L. Lewis, \u201cBayesian Graphical Games for Synchronization in Dynamical Systems,\u201d in Proceedings of American Control Conference, Milwaukee, MI, June, 2018.<\/li><li>J. Chen, Z. Zhang, <strong>S. Fu<\/strong>, and J. Hu, \u201cA joint update parallel MCMC method based sparse code multiple access decoder,\u201d IEEE Transactions on Vehicular Technology, Vol. 67, no. 2, pp. 1280-1291, Feb. 2018.<\/li><li>H. Liu, X. Dong, F. L. Lewis, <strong>Y. Wan<\/strong>, and K. Valavanis, \u201cRobust Formation Control for Multiple Quadrotors Subject to Nonlinear Dynamics and Disturbances,\u201d in Proceedings of&nbsp; the 14th IEEE International Conference on Control &amp; Automation, ICCA 2018, Anchorage, Alaska, June 12-15, 2018. Best Paper Award<\/li><li>W. Hou, R. Zhang, W. Qi, <strong>K. Lu<\/strong>, J. Wang, L. Guo, &#8220;A Provident Resource Defragmentation Framework for Mobile Cloud Computing,&#8221; IEEE Transactions on Emerging Topics in Computing, Vol. 6, No. 1, pp. 32-44, Jan. 2018.<\/li><li>M. Liu, <strong>Y. Wan<\/strong>, and F. L. Lewis, \u201cAnalysis of the Random Direction Random Mobility Model with A Sense-and-Avoid Protocol, in Proceedings of Wi-UAV Workshop, Globecom, December 2017.<\/li><li>J. Yan, <strong>Y. Wan<\/strong>, <strong>S. Fu<\/strong>, J. Xie, S. Li, and <strong>K. Lu<\/strong>, \u201cReceived signal strength indicator-based decentralized control for robust long-range aerial networking using directional antennas\u201d, IET Control Theory and Applications, vol. 11, no. 11, pp. 1838-1847, July 2017.<\/li><li><strong>J. Xie<\/strong>, <strong>Y. Wan<\/strong>, K. Mills, J. J. Filliben, and F. L. Lewis, \u201cA Scalable Sampling Method to High-dimensional Uncertainties for Optimal and Reinforcement Learning-based Controls\u201d, IEEE Control Systems Letters, vol. 1, no. 1, pp. 98-103, July 2017.<\/li><li>B. Liu, D. Jia, <strong>K. Lu<\/strong>, D. Ngoduy, J. Wang, L. Wu, &#8220;A Joint Control-Communication Design for Reliable Vehicle Platooning in Hybrid Traffic,&#8221; Published online, IEEE Transactions on Vehicular Technology, May 2017.<\/li><li>M. J. Grabner, X. Li, and <strong>S. Fu<\/strong>, \u201cA novel soft-output decoding method for integer spacetime block codes\u201d, The IEEE MTT 2017 Texas Symposium on Wireless and Microwave Circuits and Systems, Waco, TX, March 2017.<\/li><li>B. Liu, D. Jia, J. Wang, <strong>K. Lu<\/strong>, L. Wu, &#8220;Cloud-Assisted Safety Message Dissemination in VANET-Cellular Heterogeneous Wireless Network,&#8221; IEEE System Journal, Vol. 11, No. 1, pp. 128-139, Mar. 2017.<\/li><li><strong>S. Fu<\/strong> and <strong>Y. Wan<\/strong>, \u201cCommunicating in Remote Areas or Disaster Situations using Unmanned Aerial Vehicles,\u201d HDIAC Journal, pp. 4-8, vol. 2, no. 4, Winter 2016.&nbsp; <\/li><li>J. Wang, J. Ren, <strong>K. Lu<\/strong>, J. Wang, S. Liu, C. Westphal, &#8220;A Minimum Cost Cache Management Framework for Information-Centric Networks with Network Coding,&#8221; Computer Networks, Vol. 110, pp. 1-17, Dec. 2016.<\/li><li>W. Qi, J. Wang, H. Hovhannisyan, <strong>K. Lu<\/strong>, J. Wang, J. Zhu, &#8220;A Generic Mitigation Framework against Cross &#8211; VM Covert Channels,&#8221; in Proc. IEEE ICCCN 2016, Aug. 2016. (Best Paper Award in IEEE ICCCN2016).<\/li><li>D. Jia, <strong>K. Lu<\/strong>, J. Wang, X. Zhang, and S. Shen, &#8220;A Survey on Platoon-Based Vehicular Cyber-Physical Systems,&#8221; IEEE Communications Surveys and Tutorials, Vol. 18, No. 1, pp. 263-284, Mar. 2016.<\/li><li><strong>J. Xie<\/strong>, F. Al-Emrani, Y. Gu, <strong>Y. Wan<\/strong> and <strong>S. Fu<\/strong>, \u201cUAV-Carried Long Distance Wi-Fi Communication Infrastructure\u201d, in Proceedings of AIAA Science and Technology Forum and Exposition, San Diego,&nbsp; January 2016.<\/li><li><strong>Y. Wan<\/strong>, <strong>S. Fu<\/strong>, J. Zander, and P. J. Mosterman, &#8220;Transforming On-Demand Communications with Drones: The Needs, Analyses, and Solutions,&#8221; Homeland Security Today Magazine, pp. 32-35, April\/May 2015.<\/li><li>Y. Gu, M. Zhou, <strong>S. Fu<\/strong>, and <strong>Y.&nbsp; Wan<\/strong>, \u201cAirborne WiFi Networks through Directional Antennae: An Experimental Study&#8217;\u2019, in Proceedings of 2015 IEEE Wireless Communications and Networking Conference, 2015. <strong>Best Paper Award<\/strong><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>T2: Towards UAV-Based Airborne Computing: Applications, Design and Prototype Date and time: June 21, 2022, 9:00-13:00 h (half day) *** cancelled *** Organizers and Presenters Yan WanDepartment of Electrical EngineeringUniversity of Texas at Arlington, Arlington, TX, USA Kejie Lu Department of Electrical and Computer EngineeringUniversity of Puerto Rico at Mayag\u00fcez, Puerto Rico Shengli FuDepartment of&hellip;<\/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\/768"}],"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=768"}],"version-history":[{"count":16,"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/pages\/768\/revisions"}],"predecessor-version":[{"id":2581,"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/pages\/768\/revisions\/2581"}],"wp:attachment":[{"href":"https:\/\/www.uasconferences.com\/2022_icuas\/wp-json\/wp\/v2\/media?parent=768"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}