IEEE - Aerospace and Electronic Systems - June 2023 - 56
Call for Papers
IEEE Aerospace and Electronic Systems Magazine
Special Issue on
Deep Learning Assisted Computer Vision and Visual Analytics in Autonomous
Unmanned Aerial Vehicles
Dear Aerospace-RF-Sensing Community,
The IEEE Aerospace and Electronic Systems (AESS) will publish a special issue of its magazine focusing on the
developing theme of Deep Learning Assisted Computer Vision and Visual Analytics in Autonomous
Unmanned Aerial Vehicles.
Autonomous Unmanned Aerial Vehicles (UAVs) are gaining popularity as they can perform complex tasks
without human intervention. However, their ability to process large amounts of visual data is limited by their
computing power and storage capacity. Deep learning and visual analytics can enhance UAVs' data processing
capabilities, enabling them to perform various tasks such as surveillance, disaster response, agriculture, and
transportation. Progress in this field has been driven by advancements in deep learning algorithms, such as
CNNs and RNNs. However, challenges remain, including limited computing power and storage capacity, and
the need for accurate visual data in dynamic environments. This special issue aims to showcase the latest
advancements in this emerging field, featuring original research articles, reviews, and case studies.
The topic of interest includes the following:
* Deep learning-based object detection and tracking for UAVs
* Real-time semantic segmentation for UAV imagery
* Visual saliency detection for UAVs using deep learning
* Multi-modal data fusion for UAV-based visual analytics
* UAV-based anomaly detection using deep learning
* Automated event detection and classification using UAV data
* UAV-based precision agriculture using deep learning
* Deep learning-based environmental monitoring using UAVs
* UAV-based object recognition using generative adversarial networks
* Deep reinforcement learning for UAV-based visual navigation
* Human activity recognition using UAV data and deep learning
* UAV-based road traffic analysis using deep learning techniques
Guest Editors:
Dr. Carlos Enrique Montenegro Marin [Lead Guest Editor], cemontenegrom@udistrital.edu.co
Dr. J. Alfred Daniel, alfreddaniel.j@ieee.org
Dr. Adhiyaman Manickam, adhiyaman.m@ieee.org
Dr. Anand Paul, anandpaul@ieee.org
Submission Deadlines:
Manuscript submission deadline: August 31, 2023
First review completed: October 27, 2023
Revised manuscript due: December 19, 2023
Second review completed: February 05, 2024
Final manuscript due: March 30, 2024
We strongly encourage you to submit a paper of your recent work. Please see the following link to author
instructions: http://sysaes.msubmit.net/cgi-bin/main.plex?form_type=do_cat&file_nm=info.htm
http://sysaes.msubmit.net/cgi-bin/main.plex?form_type=do_cat&file_nm=info.htm
IEEE - Aerospace and Electronic Systems - June 2023
Table of Contents for the Digital Edition of IEEE - Aerospace and Electronic Systems - June 2023
Contents
IEEE - Aerospace and Electronic Systems - June 2023 - Cover1
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