IEEE 8th World Forum on Internet of Things
26 October–11 November 2022 // Yokohama, Japan

Work-05: Internet of Things (IoT) for Intelligent Mobility and Dynamics: Interconnecting Air, Ground, and Human

Description

The maturity of wireless connectivity and communication through 5G, Wi-Fi and UWB, in addition to the intensive research towards 6G, have spurred the growth of numerous Internet of things (IoT) edge implementations in the robotics domain. This is further accelerated by the COVID-19 pandemic resulting in drone and robotics industries leveraging heavily on IoT edge devices. IoT technology provides essential edge intelligence to drive aerial & ground robot mobility in industry applications such as façade inspection, surveillance, localization & tracking of mobile users, and delivery of food & medical services. Deploying mobile robots to real-world problems furthermore highlights the need for increased corporation between IoT devices that usually operate independently in their respective segment. For example, robotics on the ground and drones in the air can corporate seamlessly with authority personnel for crime prevention. As such, it is paramount that the design and implementation of IoT devices for robotic applications meets the demanding requirement of autonomous mobility. In recent years, application of Artificial Intelligence (AI) has emerged to enhance the design and implementation of IoT devices for intelligent mobility and dynamics such as deep learning and reinforcement learning. Hence, this workshop takes a holistic view in the implementation of IoT devices to achieve intelligent mobility by interconnecting aerial and ground robotics with possible human interventions. Focusing on real-world and industry applications, the workshop provides the unique opportunity to explore enabling technologies for intelligent mobility from vehicle design including electric propulsion systems to navigation & localization and edge intelligence for autonomous operation & inspection. Presentations by industry and academic practitioners provide a novel perspective on how design, navigation, edge intelligence can be combined to drive cooperative & intelligent mobility to drive future IoT applications.

The objective and motivation of this workshop will highlight the latest advances in the design and implementation of IoT devices for mobility that spans air, land, and human interactions. We invite contributions on but not limited to the following topics:

  • Design of drone for effective flight and navigation
  • Applications of drone & mobile robot navigation through AI and ML
  • Vision-based, map-based or landmark-based mobile robot navigation
  • Co-operative SLAM
  • 3D SLAM
  • Fast SLAM for edge deployment
  • GPS-denied localization
  • Non-Line-of-Sight (NLOS) localization using AI and ML
  • Localization using data fusion such as inertial, visual, and time-of-flight sensors
  • Wi-Fi, 5G, 6G, Ultra-wideband (UWB) and Bluetooth Low Energy (BLE) localization
  • Algorithms and methods for localization and navigation
  • Edge computing localization
  • Hybrid & Electric propulsion Systems

Important Dates:

  • Paper submissions for Workshops: 13 June 2022
  • Acceptance Notification: 8 July 2022
  • Camera-Ready Paper Submission Deadline: 31 July 2022

Paper should be six (6) pages in length. The conference allows up to two additional pages for a maximum length of eight (8) pages with payment of extra page charges once the paper has been accepted.

Once the paper you submitted has been reviewed and accepted you will be notified about uploading a final version of the paper for publication in the Proceedings and IEEE Xplore.

Chairs

 Dr. Yunjia Wang, Professor, China University of Mining and Technology, China

Yunjia Wang, Ph.D., second-level professor and doctoral supervisor of China University of Mining and Technology, Xuzhou China. He is the National Outstanding Doctoral Dissertation Award, National Excellent Teacher, Special Government Allowance of the State Council, Sun Yueqi Youth Science and Technology Award, Jiangsu “333 Project” Young and Middle-aged Science and Technology Leading Talent, Jiangsu University Young Academic Leader, National Surveying and Mapping Geographic Information Technology Contribution Award other title recipients. He used to be the Dean of the School of Environment and Surveying and Mapping, China University of Mining and Technology, and is currently the Director of the Professor Committee of the School of Environment and Surveying and Mapping, China University of Mining and Technology, the Director of the Key Laboratory of Land Environment and Disaster Monitoring of the Ministry of Natural Resources, and the director of the National Mine Measurement Virtual Simulation Experiment Teaching Center. He is also a member of the Surveying and Mapping Science and Technology Discipline Evaluation Group of the Academic Degrees Committee of the State Council, the chairman of the Mine Surveying Professional Committee of the Chinese Society of Surveying and Mapping, and the vice chairman of the China Satellite Navigation and Positioning Association Indoor Navigation and Positioning Professional Committee. He has researched indoor and outdoor seamless positioning, remote sensing and geographic information engineering for many years and presided over or participated in more than 50 key projects of the National Natural Science Foundation of China, general projects, international cooperation projects, National Social Science Foundation projects, 863 projects, National Science and Technology Support.

 Dr. Kegen Yu, Professor, China University of Mining and Technology, China

Kegen Yu received the Ph.D. degree in electrical engineering from The University of Sydney, Australia, in 2003. He was with the Jiangxi Geological and Mineral Bureau, Nanchang, China; Nanchang University, Nanchang; the University of Oulu, Oulu, Finland; the CSIRO ICT Center, Sydney; Macquarie University, Sydney; the University of New South Wales, Sydney; and Wuhan University, Wuhan, China. He is currently a Professor with China University of Mining and Technology, Xuzhou, China. He has coauthored the book Ground-Based Wireless Positioning (Wiley and IEEE Press, 2009) and another book Wireless Positioning: Principles and Practice (Springer, 2018), and has authored the book Theory and Practice of GNSS Reflectometry (Springer, 2021). He has authored or coauthored more than 100 refereed journal articles, including more than 60 IEEE journal articles. His research interests include GNSS-R, wireless positioning, signal processing, and remote sensing. Dr. Yu served on the Editorial Board of EURASIP JASP, IEEE TAES, and IEEE TVT from 2013 to 2017. He is also on the Editorial Board of IEEE ACCESS. He edited the book Positioning and Navigation in Complex Environments (IGI Global, 2018) and another book Indoor Positioning and Navigation (Science Press, 2018). He was the Lead Guest Editor of a Special Issue of Physical Communication, EURASIP JASP, Remote Sensing, and IEEE ACCESS. He is also the Lead Guest Editor of a Special Section of IEEE TAES (open for submissions soon). These special issues/sections are related to positioning and navigation and remote sensing.

 Dr. Cheekiat Seow, Assistant Professor, University of Glasgow, UK

Dr, Chee Kiat, Seow (M’ 02–SM’ 13) received the Ph.D. degree from Nanyang Technological University, in 2009. Before moving into academic and research landscapes, he was once the senior consultant/programme manager and system architect at Defence Science Technology Agency (DSTA) and STE Electronics, Singapore respectively to architect and lead a programme of engineers to revolutionise , instrument the concept and implementation of various wireless communications infrastructure, network and security projects. From 2011 to 2018, he was a senior Research Fellow and then a senior lecturer with the School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore. He is currently an assistant professor at University of Glasgow, School of Computing Science, UK since 2019. His primary research interests comprise of localization methodology/algorithms, physical cyber security, big data and artificial intelligence/machine learning for various applications such as robotics and drone. He is actively involved in the various research projects of Non line of Sight (NLOS) Localization under GPS denied scenarios, SLAM Navigation and GNSS cybersecurity.

 Dr. Henrik Hesse, Assistant Professor, University of Glasgow, UK

Dr Henrik Hesse is Assistant Professor in Aerospace Systems with the University of Glasgow in partnership with Singapore Institute of Technology. Henrik has a PhD from Imperial College London (2013) where he investigated reduced-order modelling approaches for load control in flexible aircraft. During his postdoctoral appointment at ETH Zurich (2014-2016), Henrik developed novel estimation and control methods for the autonomous operation of tethered drones for a wind power prototype system. He has recently ventured into robotics focusing on sensor fusion and localization of unmanned aerial vehicles in GPS-denied environments which led to several titles in robotics competitions. His current research focuses on modelling, design and control of autonomous systems in the context of their practical application.

 Dr. Victor Wang, Associate Professor, Singapore Institute of Technology (SIT), Singapore

Dr Victor Wang is currently an Associate Professor in SIT. He has a PhD in Computational Aerodynamics from Loughborough University (UK), and his main research interest lies in developing numerical methods for Aerospace Applications, such as propulsions systems, wing designs, Flight Dynamics and optimizing flight formations.

 

Please submit your paper for this Workshops using the link to eWorks:

eWorks Submissions

If you have any questions, please contact Dr. Chee Kiat: cheekiat.seow@glasgow.ac.uk