Series Vol. 5 , 25 May 2023
* Author to whom correspondence should be addressed.
Automated blind guidance has been a hot research topic, which aims to develop efficient and inexpensive technologies to help blind people meet their daily needs. Benefiting from the rapid development of deep learning and machine vision, artificial intelligence-based blind guidance technology, especially blind guidance technology based on simultaneous localization and mapping (SLAM), has become a promising alternative. In this paper, we introduce the relevant research results of YOLO-SLAM technology in the guidance of blindness. We began by highlighting the power of YOLO, SLAM technology, and the promising prospects for current research in this field. In order to ensure that the information has a higher reference value, we focus on the practical application and improvement optimization of related papers in the past four years. We analyzed existing surveys and looked at current work, using several dimensions such as the data obtained, the sensors used, the models learned, and the human-machine interface. We compared the different methods, evaluated their testing sessions, summarized their similarities and differences, and drew conclusions by analyzing future trends in the field.
Blind Navigation, YOLO, SLAM, Artificial Intelligence.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.