中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detection and Implementation of Driver's Seatbelt Based on FPGA

文献类型:会议论文

作者Liu, Zhanning2; Liu YP(刘云鹏)1; Wang, Shixian2; Zhang ZJ(张志佳)2; Wu TS(吴天舒)1,2
出版日期2019
会议日期February 22-24, 2019
会议地点Guangzhou, China
页码1-6
英文摘要In this paper, the driver's seatbelt detection algorithm is transplanted to the PYNQ embedded platform of XILINX to meet the technical requirements of automatic identification and detection of whether the driver wears a seatbelt or not. In this paper, aiming at the characteristics of the hardware of the FPGA, the driver's seatbelt detection algorithm is realized by IP core from XILINX open source. Vehicle detection is realized by using YOLO object detection algorithm with 3 bit weight and 1 bit activation, and driver's seatbelt classification is realized by using binary model with 1 bit weight and 1 bit activation. On the PYNQ embedded hardware of XILINX, the acceleration of the algorithm is realized by calling the hardware of FPGA on the ARM side.
产权排序1
会议录2019 3rd International Conference on Machine Vision and Information Technology, CMVIT 2019
会议录出版者IOP
会议录出版地Bristol, UK
语种英语
ISSN号1742-6588
WOS记录号WOS:000492959200075
源URL[http://ir.sia.cn/handle/173321/25235]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者Zhang ZJ(张志佳)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, China
2.School of Information Science and Engineering, Shenyang University of Technology, China
推荐引用方式
GB/T 7714
Liu, Zhanning,Liu YP,Wang, Shixian,et al. Detection and Implementation of Driver's Seatbelt Based on FPGA[C]. 见:. Guangzhou, China. February 22-24, 2019.

入库方式: OAI收割

来源:沈阳自动化研究所

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