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BOOK DESCRIPTION:
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

EDITORS:
1. Dr. Vania V. Estrela https://www.linkedin.com/in/vania-v-estrela-96b9bb29/
Universidade Federal Fluminense (UFF), RJ, Brazil
vania.estrela.phd@ieee.org

2. Dr. Jude Hemanth https://www.karunya.edu/ece/drjude.html
Karunya University, Coimbatore, India
jude_hemanth@rediffmail.com

3. Dr. Osamu Saotome https://www.linkedin.com/in/osamu-saotome-83935818
CTA-ITA-IEEA, São José dos Campos, SP, Brazil
osaotome@gmail.com

CONTENTS:
1. Recommendations for Hardware/Software Design using Computer Vision in UAV
2. Vision in Indoor and Outdoor Drones
3. Vision in Micro-Aerial/Bio-Inspired Vehicles (MAVs)
4. Introduction to Navigation and Intelligence for UAVs Relying on Computer Vision
5. Vision in Situation Awareness, Detection and Avoidance Systems for UAVs
6. Human Interfaces Design and Requirements for UAVs
7. Vision in Decision Support Systems
8. Image Guided Human-Machine Allocation for UAVs
9. Vision and Computer Graphics as Aids to Fault Detection and Tolerance in UAVs
10. Vision and Computer Graphics for UAVs Reconfiguration
11. Vision and Strategic Planning/Re-planning for UAVs
12. Sensor Data Handling, Integration and Display for UAVs
13. Sensors and Computer Vision as a Way to Provide Security to UAVs
14. Sensors and Computer Vision as a Means to Keep a UAV Health
15. Communications Requirements, Video Streaming, Communications Links and Networked UAVs
16. Computer Vision, Visualization, and Teleoperation in UAVs
17. The Internet of Things, Image Processing Applications Deployment and UAVs
18. The Image Processing Role in Multiple Vehicle Control and UAV Swarms
19. The Image Processing Role in Autonomy, Self-Maintenance, and Foraging of UAVs

DEADLINES:
July 1st, 2017: Call for Chapter Abstracts
September 1, 2017: One-Page Chapter Abstract (up to 1000 words) Submission Deadline. Free style.
A proposal must outline one of topics from SECTION 4 above (mention its number, for instance 4.1 and reference PBCE120A).
November 30, 2017: Last Day for Notification of Acceptance
Jan 30, 2018: Full Chapter Submissions
March 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

READERSHIP:
Readership
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.

TECHNICAL CONTACT: vania.estrela.phd@ieee.org and jude_hemanth@rediffmail.com
IET Editorial Assistants: Olivia Wilkins, owilkins@theiet.org and Paul Deards, pdeards@theiet.org