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作 者:Yong ZHANG Dongxin TAN Cizhe FANG Zheng-Dong LUO Qiyu YANG Qiao ZHANG Yu ZHANG Xuetao GAN Yan LIU Yue HAO Genquan HAN
机构地区:[1]State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology,School of Microelectronics,Xidian University,Xi’an 710071,China [2]Hangzhou Institute of Technology,Xidian University,Hangzhou 311200,China [3]Key Laboratory of Light Field Manipulation and Information Acquisition,Ministry of Industry and Information Technology,and Shaanxi Key Laboratory of Optical Information Technology,School of Physical Science and Technology,Northwestern Polytechnical University,Xi’an 710129,China
出 处:《Science China(Information Sciences)》2024年第9期342-343,共2页中国科学(信息科学)(英文版)
基 金:supported by National Key R&D Program of China(Grant No.2023YFB4402303);Fundamental Research Funds for the Central Universities(Grant No.YJSJ24020);National Natural Science Foundation of China(Grant Nos.62090033,62025402,62274128,92264202,62293522,92364204);Zhejiang Provincial Natural Science Foundation of China(Grant No.LDT23F04023F04);Innovation Find of Xidian University。
摘 要:Machine vision has become crucial in the modern intelligence era,especially in rapidly developing applications such as autonomous vehicles and robotic visual sensors[1].With the ever-increasing requirements of visual recognition,tremendous amounts of data are captured by sensors and must be processed and stored[2].
关 键 词:visual AUTONOMOUS OPTOELECTRONIC
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