1. FMCW radar and Wi-Fi techniques for object detection and classify by using AI: A review.
- Author
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Faraj, Ali A., AL-Nakkash, Aseel Hameed, and Wadday, Ahmed Ghanim
- Subjects
OBJECT recognition (Computer vision) ,COMPUTER vision ,DOPPLER effect ,TOMOGRAPHY ,VISUAL fields - Abstract
Object detection is an important issue in many fields, including robotics, self-driving cars, and surveillance. This paper describes object detection methods based on Radio Tomographic Imaging (RTI). These technologies include Frequency Modulated Continuous Wave (FMCW) and Wi-Fi with computer vision algorithms. Wi-Fi systems focus primarily on measuring the Received Signal Strength Index (RSSI), and FMCW radar systems measure parameters such as pulse frequency, time delay, and Doppler shift to extract information about targets, including their range, speed, and sometimes their direction. These technologies are becoming increasingly important because of their ability to correctly identify and describe objects using signals that computer vision can interpret, making them competitive with technologies that rely on optical and thermal vision. The methods presented in this paper are suitable for object detection tasks because they combine the advantages of radio and computer vision. The methods mentioned in processing these techniques were based on previous research in the literature for each technique. In the end, this study adds useful information in the field of computer vision and radio signals, allowing researchers to make this study a reference that extracts many methods and ideas so that future researchers can choose the most appropriate technology for their research. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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