Computer Vision and Sensors-Based Application for Intelligent Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 25 March 2025 | Viewed by 314
Special Issue Editors
Interests: pattern recognition; character recognition; image processing; computer vision; human–computer interaction; neurological disease analysis; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent software; smart learning; cloud robotics; programming environment; visual languages
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Modern society faces a variety of challenges, including enhancing safety, improving quality of life, eliminating disparities, upgrading service quality, boosting productivity, and strengthening disaster response. To address these challenges, the rapid evolution of intelligent systems is essential. In particular, the development of sensing technology, as represented in the field of robotics, is expected to advance, and computer vision will play a central role in this development. Therefore, this Special Issue focuses on advanced computer vision technologies that support intelligent systems and their integration. Topics related to, but not limited to, ML, DL, and HCI are welcome. In addition, this Special Issue explores solutions to specific real-world problems and their applications. Our aim is to provide useful insights for researchers and engineers and to contribute to solving real-world problems.
Prof. Dr. Jungpil Shin
Dr. Yutaka Watanobe
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sensing technology
- computer vision
- human–computer interaction
- image processing
- pattern recognition
- object detection
- 3D reconstruction
- virtual reality
- machine learning
- deep learning
