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ISUAVs 2018 : Second Call for Book Chapters: IET Imaging and Sensing for Unmanned Aerial Vehicles


When Aug 1, 2017 - Dec 1, 2018
Where UK
Abstract Registration Due Nov 1, 2017
Submission Deadline Feb 28, 2018
Notification Due Jun 1, 2018
Final Version Due Aug 30, 2018
Categories    drones   computer vision   UAV   cyber-physical system

Call For Papers

Book Title: Imaging and Sensing for Unmanned Aerial Vehicles
Book Editors: Vania V. Estrela, Jude Hemanth, Osamu Saotome
IET Book Series: The IET International Book Series on Sensors
Publisher: The Institution of Engineering and Technology (the IET)
Dear Colleague,

We would like to invite you to join this exciting new project as a chapter contributor. Since this is a textbook, a great deal of this chapter entails a survey on the topic under the paradigm of cyber-physical systems, what can be done onboard and remotely, the distributed nature of the system and some exercises on futurology (anticipating trends can shed some light on upcoming designs). IET will bring great visibility to your work.

You are welcome to suggest another topic/chapter title if you feel it would be more suitable. Each chapter should be around 20-25 pages each and can be submitted as a Word or Latex File. The IET will send you additional information (formatting, permission form, etc.) with the contributor's agreement once you have agreed to contribute to the book. Visit to get all information you need as a contributor to an IET research-level book. Each book is expected to have a total number of 500 printed pages (based on approximately 550 words per page with a 20% allowance for figures and tables).

We have included a tentative schedule and list of topics below. If this is something you would consider, please send me the title of your chapter, a short description/abstract of the chapter content, and your full contact details.

We will expect original content and new results for this book. You can, of course, reuse published material but the percentage of material reuse for the chapter should be less than 40%. The IET will run a piracy software on the full manuscript to control that you are including original material and will reject chapters who contain a large amount of already-published material so please do take this into consideration.

We would appreciate your feedback by November 01, 2017. Please do not hesitate to contact us if you have any queries. We very much look forward to working with you towards the successful publication of this new book project.
With thanks and best regards,
Dr. Vania V. Estrela
Universidade Federal Fluminense (UFF), RJ, Brazil

Dr. Jude Hemanth
Karunya University, Coimbatore, India

Dr. Osamu Saotome
CTA-ITA-IEEA, São José dos Campos, SP, Brazil
From the IET: Val Moliere, Senior Commissioning Book Editor, Email: The IET, Michael Faraday House, Six Hills Way, Stevenage, SG1 2AY, UK

Computer Vision (CV) and Sensors play a decisive role in the operation of Unmanned Aerial Vehicle (UAV), but there exists a void when it comes to analysing the extent of their impact on the entire UAV system. In general, the fact that a UAV is a Cyber-Physical System (CPS) is not taken into account. In this proposal, we propose to expand on earlier books covering the use of CV and sensing in UAVs. Among other things, an entirely autonomous UAV can help to (i) obtain information about the environment, (ii) work for an extended period of time without human interference, (iii) move either all or part of itself all over its operating location devoid of human help and (iv) stay away from dangerous situations for people and their possessions. A Vision System (VS) entails the way CV data will be utilized, the appropriate architecture for total avionics integration, the control interfaces, and the UAV operation. Since the VS core is its sensors and cameras, multi-sensor fusion, navigation, hazard detection, and ground correlation in real time are important operational aspects that can benefit from CV knowledge and technology. This book will aim to collect and shed some light on the existing information on CV software and hardware for UAVs as well as pinpoint aspects that need additional thinking. It will list standards and a set of prerequisites (or lack of them thereof) when it comes to CV deployment in UAVs. The issue of data fusion takes a centre place when the book explores ways to deal with sensor data and images as well as their integration and display. The best practices to fuse image and sensor information to enhance UAV performance by means of CV can greatly improve all aspects of the corresponding CPS. The CPS viewpoint can improve the way UAVs interact with the Internet of Things (IoT), use cloud computing, meet communications requirements, implement hardware/software paradigms necessary to handle video streaming, incorporate satellite data, and combine CV with Virtual/Augmented Realities.

VOLUME 1 - CONTROL AND PERFORMANCE: This tome explores how sensors and computer vision technologies are used in unmanned aerial vehicles for the navigation, control, stability, reliability, guidance, fault detection, self-maintenance, strategic replanning and reconfiguration of the entire system. It helps analyse the manner UAVs interact with the Internet of Things (IoT), use cloud computing, meet communications requirements, implement hardware/software paradigms necessary to handle still imagery, video streaming, incorporate satellite data, and combine computer vision with virtual/augmented realities (VR/AR).NB: This is planned to be the companion volume of Estrela, Hemanth, Saotome (Eds) / Imaging and Sensing for Unmanned Aerial Vehicles: Volume 2 - Deployment and Applications

VOLUME 2 - DEPLOYMENT AND APPLICATIONS: This tome introduces procedures, standards, and prerequisites for the deployment of Computer Vision (CV) in UAVs from their application point of view. It discusses existing/desirable open source software tools, image banks, benchmarks, Quality of Experience (QoE), Quality of Service (QoS) and how CV can benefit from a Robot Operating System (ROS) in surveillance, remote sensing, inspection, maintenance and repair among other usages, while offering an assessment of current bottlenecks and trends. It will pave the road towards better studies on the necessity and viability of implementing collaborative environments for visualization, knowledge management and teleoperation of UAVs. This is planned to be the companion volume of Estrela, Hemanth, Saotome (Eds) / Imaging and Sensing for Unmanned Aerial Vehicles: Volume 1 - Control and Performance.
Recommendations for Onboard Hardware/Software Design using Computer Vision in UAV Systems
Vision in Situation Awareness, Detection and Avoidance Systems for UAVs
Image-Guided Human-Machine Allocation and Iteration for UAVs
Vision as an Aid to Fault Detection and Tolerance in UAVs
Computer Vision Role in UAV Reconfiguration
Vision and Strategic Path Planning/Re-planning for UAVs
Sensors and Computer Vision as a Means to Keep a UAV Health
The Image Processing Role in Multiple Vehicle Control and UAV Swarms
2D/3D/4D Imaging in UAVs
Multi-view Image and ToF Sensor Fusion in UAVs
Range Imaging in UAVs
Imaging Standards and UAVs
Virtual/Augmented Reality in UAVs
Collaborative Environments in UAVs
Analysis, Indexing, Retrieval in UAV Systems
Multicast/Broadcast/Streaming in UAV Systems
Image-Oriented Estimation and Identification in UAVs
Open Source Software in UAVs
Robot Operating System (ROS) in UAVs

November1st, 2017: One-Page Chapter Abstract (up to 1000 words) Submission Deadline. Free style.
A proposal must outline one of the topics from the list above
November 30, 2017: Last Day for Notification of Acceptance
Feb 28, 2018: Full Chapter Submissions
April 30 2018: Review Chapter Submissions and send comments to authors
May 31, 2018: Receive revised Chapter Submissions
June 30, 2018: Notification of Final Acceptance
July 31, 2018: Gather all material, figure files and copyrights permission forms
Aug 30, 2018: Book editors to finalize introduction and conclusion chapters
Sept 15th, 2018, Delivery of full manuscript to the IET
Scheduled publication: Feb/March 2019

Graduate students and Researchers in the fields of Electrical and Computer Engineering, Computer Science, Mechanical Engineering, Civil Engineering, Humanitarian Engineering, Control Systems, Geoscience and Remote Sensing, Instrumentation and Measurement, Intelligent Transportation Systems, Oceanic Engineering, Safety Engineering, Reliability, Robotics and Automation, Signal Processing, Technology and Engineering Management, Environmental Engineering, Public Health Management, Non-Invasive Testing/Monitoring and Vehicular Technology.

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