Author:
Liu Juan,Zhang Zhigang,Zheng Longhao,Wen Yongjun,Bin Feng,Tang Lijun
Funder
Research and Development
Changsha University of Science and Technology
Cited by
4 articles.
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1. FPGA Suitability for Implementation of Pedestrian Detection algorithms for Autonomous Driving Application;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
2. A storage-efficient SNN–CNN hybrid network with RRAM-implemented weights for traffic signs recognition;Engineering Applications of Artificial Intelligence;2023-08
3. Traffic Sign Detection and Recognition;International Journal of Advanced Research in Science, Communication and Technology;2022-05-22
4. A Low-Cost Fully Integer-Based CNN Accelerator on FPGA for Real-Time Traffic Sign Recognition;IEEE Access;2022