Abstract Details
117 / 2021-04-06 19:28:36
Traffic Sign Recognition Based on ZYNQ
CNN, Traffic sign recognition, ZYNQ
Final Paper
In the traffic field, the traffic sign detection and recognition system is an important part of ADAS (Advanced Driver Assistance System). In this paper, a research on traffic sign recognition is carried out, and a traffic recognition sign recognition network is established with the GTSRB data set as the research object. A network computing accelerator is designed with "ARM+FPGA" framework; the functional modules of each part of the network are reasonably divided; and high-level synthesis tools are used to optimize the design of loop unwinding and loop flow to improve throughput and improve recognition speed. The experimental results show that the network has a high accuracy rate in each classification. After optimization, the processing speed of the system under the 100MHz clock is increased by 5.59 times. This method provides an effective reference for the identification of other specific signs.
Important Date
-
Conference Date
Jul 10
2021
toJul 12
2021
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May 10 2021
Draft paper submission deadline
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Jul 06 2021
Registration deadline
Sponsored By
Changsha University of Science & Technology
Supported By
IEEE Electron Devices Society
IEEE
IEEE
Contact Information
- Dr. WanghuiZou
- zo******@csust.edu.cn
- 135********
Previous Conferences
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2018-05-07 Taiwan, China
2018 7th International Symposium on Next Generation Electronics -
2017-05-23 Taiwan, China Keelung
2017 6th International Symposium on Next Generation Electronics
