Intelligent Unmanned Vehicles for Image Capturing and Sensing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1018
Special Issue Editors
Interests: UAV communications; internet of things; physical-layer security; network coding; non-orthogonal multiple access; RF energy harvesting; device-to-device communications; heterogeneous networks
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; image processing and analysis; feature selection and feature matching; object recognition and classification; machine learning and deep learning; remote sensing
Special Issue Information
Dear Colleagues,
Intelligent Unmanned Vehicles (IUVs), in the form of either Unmanned Ground Vehicles (UGVs), Unmanned Aerial Vehicles (UAVs) or Unmanned Underwater Vehicles (UUVs), have emerged as potential tools to assist humans in various missions, such as environment sensing, space exploration, rescue, surveillance, inspection, real-time monitoring, remote sensing, etc. The IUV-related technologies have been continuously evolving, attracting a vast number of research works with an exponentially growing number of applications. The UGVs/UAVs/UUVs with on-board sensors and/or hyperspectral systems can sense the environment and/or capture spectral image data, which are then fed into an AI model for evaluation and prediction. Although numerous applications, algorithms and commercial tools have been developed for UGVs, UAVs and UUVs, there are challenges and open issues in modelling, analyses and practical design that need to be addressed. This Special Issue aims to provide a comprehensive overview of state-of-the-art technologies of IUVs in practical systems for image capturing and sensing.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Channel modelling and communication protocols of IUVs (UAVs/UGVs/UUVs);
- Energy consumption modelling of IUV sensing devices;
- Resource allocation for IUV communications;
- Security of IUV communications;
- Analytical frameworks of IUV communications;
- Machine learning for IUV communications and sensing;
- On-board data processing for image capturing and sensing on IUVs;
- Experiment and prototype of IUVs for image capturing and sensing;
- Object detection, classification and segmentation algorithms for multispectral and hyperspectral imaging;
- Feature extraction and reduction for multispectral and hyperspectral imaging;
- Change and anomaly detection in multispectral and hyperspectral images;
- Interpretability and explainability in machine learning for multispectral and hyperspectral imaging;
- Applications of multispectral and hyperspectral imaging;
- Deployment of multispectral and hyperspectral classification and segmentation techniques in hardware-constrained environments;
- Data fusion from multiple sensors.
We look forward to receiving your contributions.
Dr. Quoc-Tuan Vien
Dr. Tuan Thanh Nguyen
Guest Editors
Manuscript Submission Information
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Keywords
- UAV communications
- UGV communications
- machine learning
- deep learning
- hyperspectral imaging
- aerial sensing/capturing
- data fusion
