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ISUAVs Vol. 2. DEPLOYMENT & APPLICATIONS 2018 : 1st CALL FOR BOOK CHAPTERS - IMAGING AND SENSING FOR UNMANNED AERIAL VEHICLES

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When Aug 1, 2017 - Sep 30, 2018
Where UK
Abstract Registration Due Sep 1, 2017
Submission Deadline Jan 30, 2018
Notification Due Jun 30, 2018
Final Version Due Sep 15, 2018
Categories    drones   image processing   remote sensing   automation
 

Call For Papers

IET indexes its books and journal in SCOPUS and IEEE Xplore.

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 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.

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. Image Acquisition and Restoration in UAVs
2. Image Fusion in UAVs
3. Super-Resolution Imaging in UAVs
4. 2D/3D/4D Imaging in UAVs
5. Multi-view Image and ToF Sensor Fusion in UAVs
6. Range Imaging in UAVs
7. Multispectral and Hyperspectral Imaging in UAVs
8. Imaging Standards and UAVs
9. Virtual/Augmented Reality in UAVs
10. Collaborative Environments in UAVs
11. Archiving, Storage, and Compression in UAVs
12. Analysis, Indexing, Retrieval in UAVs
13. Multicast/Broadcast/Streaming in UAVs
14. Modelling, Simulation and UAVs
15. Image-Oriented Estimation and Identification in UAVs
16. Open Source Software in UAVs
17. Image Banks and Benchmarks in UAVs
18. Quality of Experience (QoE) and Quality of Service (QoS) in UAVs
19. Robot Operating System (ROS) in UAVs
20. Cloud Computing in 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 the topics from SECTION 4 above (mention its number, for instance 4.1 and reference PBCE120B).
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

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