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Detection and Implementation of Driver's Seatbelt Based on FPGA
Wu TS(吴天舒)1,2; Zhang ZJ(张志佳)1; Liu, Zhanning1; Liu YP(刘云鹏)2; Wang, Shixian1
Department光电信息技术研究室
Conference Name2019 3rd International Conference on Machine Vision and Information Technology, CMVIT 2019
Conference DateFebruary 22-24, 2019
Conference PlaceGuangzhou, China
Source Publication2019 3rd International Conference on Machine Vision and Information Technology, CMVIT 2019
PublisherIOP
Publication PlaceBristol, UK
2019
Pages1-6
Indexed ByEI ; CPCI(ISTP)
EI Accession number20192607095249
WOS IDWOS:000492959200075
Contribution Rank1
ISSN1742-6588
AbstractIn 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25235
Collection光电信息技术研究室
Corresponding AuthorZhang ZJ(张志佳)
Affiliation1.School of Information Science and Engineering, Shenyang University of Technology, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, China
Recommended Citation
GB/T 7714
Wu TS,Zhang ZJ,Liu, Zhanning,et al. Detection and Implementation of Driver's Seatbelt Based on FPGA[C]. Bristol, UK:IOP,2019:1-6.
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