Anis Koubaa, Prince Sultan University, Saudi Arabia,
Lahouari Ghouti, Prince Sultan University, Saudi Arabia,
Wadii Boulila, Prince Sultan University, Saudi Arabia
Kai Li, CISTER Research Centre, Portugal
June 19 - 23, 2023
These applications create new specific technical challenges. Considering the computation-intensive requirements of AI models, their real-time execution of battery-based edge devices, typically used on UASs, poses a significant challenge. Security and privacy are other primary concerns, mainly when UAS are deployed through cloud-based environments. There are several other problems, including low-resolution aerial image processing, zero-shot classification of UAS-collected images, reinforcement learning-based control, and edge-based processing vs. cloud-based computation offloading, to name a few.
This Symposium aims to bring together state-of-the-art contributions that would address several challenges pertaining to leveraging the use of AI with Unmanned Autonomous Systems. The Symposium welcomes technical papers, in addition to papers reporting experimental prototypes and studies on the use of AI with Unmanned Autonomous Systems. Survey papers can also be accepted if they provide a comprehensive review and analysis of the state of the art.
Authors are invited to submit previously unpublished papers to this Symposium. Topics include, but are not limited to
- Cloud robotics for AI applications
- Reinforcement learning
- Self-driving cars
- Deep learning models for aerial image processing
- Attention modules for UAS-based AI models
- AI-model acceleration for UAS edge processing
- Deep learning security threats for UAS applications
- AI-based models for UAS safety
- Computation offloading
- AI-based Smart Cities with UAS
- AI-based surveillance systems
- Smart Agriculture
- Computer Vision for UASs
January 10, 2023
March 30, 2023
Camera-ready paper submissions
April 30, 2023
Prospective authors are invited to submit original technical papers—up to 6 pages of length, using the EDAS link for possible publication in the IWCMC 2023 Conference Proceedings, which will be submitted to the IEEE Xplore. Selected papers will further considered for possible publication in three special issues in the following Journals. For more information, click here
Note: There will be best paper award, best Symposium award and best Workshop award.
MDPI REMOTE SENSING
Remote Sensing (ISSN 2072-4292) is a peer-reviewed, open access journal, and is published semimonthly online by MDPI. The journal publishes regular research papers, reviews, technical notes and communications covering all aspects of remote sensing science, from sensor design, validation / calibration, to its application in geosciences, environmental sciences, ecology and civil engineering. Remote Sensing received its Impact Factor (2021) of 5.349, 5-Year Impact Factor (2020) of 5.786, and CiteScore (2021) of 7.4.