JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v8i4.7920ArticleTactile Paving Recognition Method Based on Improved YOLOv7https://artdesignp.com/journal/JERA/8/4/10.26689/jera.v8i4.7920ShiChengyi,ZhaoQun,FangNan,MaoYufeng2024842024-08-12Tactile paving is a professional road facility to ensure the safe travel of people with visual impairment. However, there are many problems with tactile paving travel in practice. For one, some tactile paving is seriously damaged, and the other is the accumulation of obstacles. How to help visually impaired people recognize and locate obstacles in tactile paving is a problem worth studying. In this paper, image recognition technology is used to recognize the tactile paving pictures with obstacles, and an attention mechanism is used to optimize samples to improve recognition accuracy.

Yang J, Li H, Tian C, et al., 2021, Dynamic Histogram Equalization Algorithm Based on Adaptive Correction. Computer Engineering and Design, 42(5): 1264–1270.

Wu X, Wu L, Wu Z, et al., 2018, A Fast Multi-Target Recognition and Synchronous Ranging Method for Visual Assistance of Blind People. Journal of Fuzhou University: Natural Science Edition, 46(4): 472–480.

Wang L, Zhang L, Li S, Zhou G, 2019, Context Sensitive Question Answering Pairing Method Based on Attention Mechanism. Chinese Journal of Information Science, 33(1): 125–132.

Kim JH, Park JE, Lee JM, 2020, 3-D Space Visualization System Using Ultrasonic Sensors as an Assistive Device for the Blind. IEEE Journal of Translational Engineering in Health and Medicine, 8: 2700305.

Hossein J, Alireza G, 2022, Input Motion Extraction and Closely-Spaced Modes Recognition Through Partial System Identification: An Orthogonality-Aided Blind Source Separation Approach. Measurement, 2022: 200.

Alsayaydeh JAJ, Irianto, Zainon M, et al., 2022, Intelligent Interfaces for Assisting Blind People Using Object Recognition Methods. International Journal of Advanced Computer Science and Applications (IJACSA), 13(5): 734–741.

Tayyaba S, Ashraf MW, Alquthami T, et al., 2020, Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation. Sensors, 20(13): 3674.

Qi L, Gao J, 2023, Based on the Improved Detection of Small Target YOLOv7. Computer Engineering, 49(01): 41–48. https://doi.org/10.19678/j.iSSN.1000-3428.0065942

Wang Y, Shang J, Zhang Y, et al., 2023, Real-Time Transmission Line Defect Detection Method Based on Improved YOLOv7. Southern Power Grid Technology, 2023: 1–8.

Cao Y, Li C, Peng Y, 2022, Night Pedestrian Detection Algorithm Based on Improved YOLOv7. Yangtze River Information and Communication, 35(10): 57–60.

Mao J, 2023, Study on Algorithm of Road Defect Detection Based on YOLOV7 Distillation Model. Modern Manufacturing Technology and Equipment, 59(02): 222–224. https://doi.org/10.16107/j.cnki.mmte.2023.0084

Zhang L, Wang W, Wang B, et al., 2023, A 3D Detection Method for Autonomous Driving Platforms Based on Roadside Monocular Cameras. Information and Computer, 35(2): 201–205

Chen Y, 2023, Research on Small Object Detection Algorithm Based on Improved YOLOv7, thesis, Jiangsu University of Science and Technology.

Xie J, Wang W, Liu T, 2021, Fabric Defect Detection Using Different Backbone Networks Based on YOLO v3 Algorithm. Measurement and Control Technology, 40(3): 61–66.

Cao J, Lv J, Wu X, et al., 2021, A Fall Detection Algorithm Integrating Motion Features and Deep Learning. Computer Applications, 41(2): 583–589.