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  1. \u6559\u80b2\u80cc\u666f<\/strong><\/b><\/li>\n<\/ol>\n

    l\u00a01994-1998 \u6c88\u9633 \u4e1c\u5317\u5927\u5b66 \u5de5\u5b66\u5b66\u58eb l\u00a01998-2001 \u6c88\u9633 \u4e1c\u5317\u5927\u5b66 \u5de5\u5b66\u7855\u58eb l\u00a02001-2005 \u6c88\u9633 \u4e1c\u5317\u5927\u5b66 \u5de5\u5b66\u535a\u58eb<\/p>\n

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    1. \u5de5\u4f5c\u5c65\u5386<\/strong><\/b><\/li>\n<\/ol>\n

      l\u00a02005-2006 \u6c88\u9633\u4e1c\u8f6f\u8f6f\u4ef6\u80a1\u4efd\u6709\u9650\u516c\u53f8 \u7814\u7a76\u5458 l\u00a02006-2010 \u4e1c\u8f6f\u96c6\u56e2\/\u4e1c\u8f6f\u96c6\u56e2\u535a\u58eb\u540e\u5de5\u4f5c\u7ad9 \u6559\u6388\u7ea7\u9ad8\u5de5 l\u00a02010.-\u81f3\u4eca \u4e1c\u5317\u5927\u5b66\u4e1c\u8f6f\u7814\u7a76\u9662 \u6559\u6388\/\u535a\u58eb\u751f\u5bfc\u5e08 l\u00a02016-\u81f3\u4eca \u4e1c\u8f6f\u777f\u9a70\u6c7d\u8f66\u6280\u672f\u6709\u9650\u516c\u53f8 \u603b\u76d1<\/p>\n

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      1. \u5b66\u672f\u517c\u804c<\/strong><\/b><\/li>\n<\/ol>\n

        l\u00a0\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u5b66\u4f1a\u667a\u80fd\u9a7e\u9a76\u4e13\u4e1a\u59d4\u5458\u4f1a\u59d4\u5458 l\u00a0\u4e2d\u56fd\u6c7d\u8f66\u5de5\u7a0b\u5b66\u4f1a\u7406\u4e8b l\u00a0\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u8bc4\u5ba1\u4e13\u5bb6 l\u00a0\u79d1\u6280\u90e8\u56fd\u5bb6\u91cd\u70b9\u7814\u53d1\u8ba1\u5212\u8bc4\u5ba1\u4e13\u5bb6 l\u00a0IEEE Transactions on ITS\/\u7535\u5b50\u5b66\u62a5\/International Journal of Wavelets, Multiresolution and Information Processing\/IET Computer Vision\u8bc4\u5ba1\u4eba<\/p>\n

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        1. \u79d1\u7814&\u7814\u53d1<\/strong><\/b><\/li>\n<\/ol>\n

          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\u4e3b\u6301\u7684\u91cd\u5927\u9879\u76ee\u5217\u8868\u5982\u4e0b\uff1a 1)\u00a02017~2019 \u4e0a\u6d77\u5e02\u7ecf\u4fe1\u59d4 \u5de5\u4e1a\u5f3a\u57fa\u9879\u76ee \u667a\u80fd\u9a7e\u9a76\u4e2d\u592e\u57df\u63a7\u5236\u5668\u7814\u5236 2)\u00a02017~2018 \u6c88\u9633\u5e02\u4eba\u529b\u8d44\u6e90\u548c\u793e\u4f1a\u4fdd\u969c\u5c40 \u4eba\u624d\u8d44\u6e90\u5f00\u53d1\u4e13\u9879\u8d44\u91d1 \u667a\u80fd\u8f85\u52a9\u9a7e\u9a76\u4ea7\u54c1\u7814\u53d1\u53ca\u4ea7\u4e1a\u5316 3)\u00a02016~2018 \u6c88\u9633\u5e02\u79d1\u6280\u5c40 \u5e02\u79d1\u6280\u8ba1\u5212 \u667a\u80fd\u8f85\u52a9\u9a7e\u9a76\u4ea7\u54c1\u7814\u53d1\u53ca\u4ea7\u4e1a\u5316 4)\u00a02016~2019 \u79d1\u6280\u90e8 \u91cd\u70b9\u7814\u53d1\u8ba1\u5212 \u7535\u52a8\u6c7d\u8f66\u667a\u80fd\u8f85\u52a9\u9a7e\u9a76\u6280\u672f\u7814\u53d1\u53ca\u4ea7\u4e1a\u5316 5)\u00a02015~2016 \u6c88\u9633\u5e02\u79d1\u6280\u5c40 \u5e02\u79d1\u6280\u8ba1\u5212 \u7535\u52a8\u6c7d\u8f66\u667a\u80fd\u884c\u8f66\u5b89\u5168\u53ca\u8f66\u8def\u89c4\u5212\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u53d1\u53ca\u5e94\u7528 6)\u00a02013~2016 \u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u59d4 \u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u9762\u4e0a\u9879\u76ee \u590d\u6742\u73af\u5883\u4e0b\u57fa\u4e8e\u5355\u76ee\u5927\u89c6\u89d2\u76f8\u673a\u7684\u5e7f\u4e49\u969c\u788d\u7269\u9c81\u68d2\u68c0\u6d4b 7)\u00a02012~2014 \u79d1\u6280\u90e8 863\u8ba1\u5212 \u7f51\u6784\u5316\u8f6f\u4ef6\u53ef\u4fe1\u8bc4\u4f30\u6280\u672f\u4e0e\u5de5\u5177 8)\u00a02012~2013 \u5de5\u4fe1\u90e8 \u7535\u5b50\u4fe1\u606f\u4ea7\u4e1a\u53d1\u5c55\u57fa\u91d1 \u8f66\u8f7d\u667a\u80fd\u4fe1\u606f\u7ec8\u7aef\u7814\u53d1\u4e0e\u793a\u8303\u5e94\u7528 9)\u00a02013~2014 \u6559\u80b2\u90e8 \u57fa\u672c\u79d1\u7814\u4e1a\u52a1\u8d39 \u9762\u5411\u57ce\u5e02\u9053\u8def\u5b89\u5168\u7684\u5e7f\u4e49\u884c\u4eba\u68c0\u6d4b\u5173\u952e\u6280\u672f\u7814\u7a76 10)\u00a02016~2018 \u6559\u80b2\u90e8 \u57fa\u672c\u79d1\u7814\u4e1a\u52a1\u8d39 \u201c\u9762\u5411\u57ce\u5e02\u9053\u8def\u81ea\u52a8\u9a7e\u9a76\u7684 \u00a0\u00a0\u00a0\u00a0\u00a0\u590d\u6742\u4ea4\u901a\u573a\u666f\u73af\u5883\u611f\u77e5\u6280\u672f\u7814\u7a76\u201d<\/p>\n

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              \n
            1. \u5b66\u672f\u6210\u679c<\/li>\n<\/ol>\n

              \u4ee5\u7b2c\u4e00\u4f5c\u8005\/\u901a\u8baf\u4f5c\u8005\u5728\u56fd\u5185\u5916\u77e5\u540d\u671f\u520a\u548c\u56fd\u9645\u5b66\u672f\u4f1a\u8bae\u4e0a\u53d1\u8868\u8bba\u658720\u4f59\u7bc7\uff0c\u5176\u4e2d\u4ee5\u7b2c\u4e00\u4f5c\u8005\/\u901a\u8baf\u4f5c\u8005\u8eab\u4efd\u53d1\u8868SCI\u68c0\u7d22\u8bba\u65874\u7bc7\uff08\u4e00\u533a2\u7bc7\uff09<\/strong><\/b>\uff0c\u4e00\u7ea7\u5b66\u62a53\u7bc7<\/strong><\/b>\uff1b\u4ee3\u8868\u6027\u8bba\u8457\u5982\u4e0b\uff1a 1)\u00a0Liu W , Li S , Lv J , et al. Real-Time Traffic Light Recognition based on Smartphone Platforms[J]. IEEE Transactions on Circuits & Systems for Video Technology, 2017, 27(5):1118-1131. 2)\u00a0Liu W , Yu B , Duan C , et al. A Pedestrian-Detection Method based on Heterogeneous Features and Ensemble of Multi-View\u2013Pose Parts[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 16(2):813-824. 3)\u00a0Liu W , Yu H , Yuan H , et al. Effective background modelling and subtraction approach for moving object detection[J]. IET Computer Vision, 2015, 9(1):13-24. 4) \u5218\u5a01, \u5468\u5a77, \u8881\u6dee, et al. \u57fa\u4e8e\u591a\u6761\u4ef6\u968f\u673a\u573a\u6a21\u578b\u7684\u56fe\u50cf3D\u7a7a\u95f4\u5e03\u5c40\u7406\u89e3[J]. \u7535\u5b50\u5b66\u62a5, 2017(02):74-82. 5) \u5218\u5a01, \u6bb5\u6210\u4f1f, \u9047\u51b0, et al. \u57fa\u4e8e\u540e\u9a8cHOG\u7279\u5f81\u7684\u591a\u59ff\u6001\u884c\u4eba\u68c0\u6d4b[J]. \u7535\u5b50\u5b66\u62a5, 2015, 43(2):217-224.<\/p>\n

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              1. \u53d1\u660e\u4e13\u5229<\/strong><\/b><\/li>\n<\/ol>\n

                \u4ee5\u7b2c\u4e00\u53d1\u660e\u4eba\u8eab\u4efd\u7533\u8bf7\u56fd\u5185\u5916\u4e13\u522930\u4f59\u9879\uff0c\u4ee3\u8868\u6027\u4e13\u5229\u5982\u4e0b\uff1a 1)\u00a0Method and apparatus for partitioning barrier \u7f8e\u56fd\u53d1\u660e\u4e13\u5229 US8463039B2 2)\u00a0\u969c\u788d\u7269\u5206\u5272\u65b9\u6cd5\u53ca\u88c5\u7f6e \u65e5\u672c\u53d1\u660e\u4e13\u5229 \u7279\u8bb8\u7b2c5367091\u53f7 3)\u00a0\u969c\u788d\u7269\u5206\u5272\u65b9\u6cd5\u53ca\u88c5\u7f6e \u5fb7\u56fd\u53d1\u660e\u4e13\u5229 112009003648 4)\u00a0\u753b\u50cf\u4e2d\u306e\u969c\u5bb3\u7269\u3092\u8b58\u5225\u3059\u308b\u65b9\u6cd5\u304a\u3088\u3073\u88c5\u7f6e \u65e5\u672c\u53d1\u660e\u4e13\u5229 \u7279\u8a31\u7b2c\uff15\uff12\uff17\uff16\uff17\uff12\uff11\u53f7 5)\u00a0Method and apparatus for identifying obstacle in image \u7f8e\u56fd\u53d1\u660e\u4e13\u5229 US008406474B2 6)\u00a0METHOD AND APPARATUS FOR DETECTING GENERALIZED PASSERBY \u7f8e\u56fd\u53d1\u660e\u4e13\u5229 US9519831 7)\u00a0\u5e83\u7fa9\u7684\u901a\u884c\u4eba\u691c\u51fa\u65b9\u6cd5\u3068\u88c5\u7f6e\uff08\u5e7f\u4e49\u884c\u4eba\u68c0\u6d4b\u65b9\u6cd5\u548c\u88c5\u7f6e\uff09 \u65e5\u672c\u53d1\u660e\u4e13\u5229 \u7b2c5950991\u53f7 8)\u00a0\u4e00\u79cd\u5b9e\u73b0\u8f66\u8f86\u524d\u7167\u706f\u7167\u5c04\u89d2\u5ea6\u68c0\u6d4b\u7684\u65b9\u6cd5\u3001\u88c5\u7f6e\u53ca\u7cfb\u7edf \u4e2d\u56fd\u53d1\u660e\u4e13\u5229 \u7b2c1726199\u53f7 9)\u00a0\u57fa\u4e8e\u7acb\u9762\u7684\u8f66\u8f86\u524d\u7167\u706f\u7167\u5c04\u89d2\u5ea6\u68c0\u6d4b\u65b9\u6cd5\u3001\u88c5\u7f6e\u53ca\u7cfb\u7edf \u4e2d\u56fd\u53d1\u660e\u4e13\u5229 \u7b2c1586918\u53f7 10)\u00a0\u4e00\u79cd\u4fe1\u53f7\u706f\u8bc6\u522b\u65b9\u6cd5\u53ca\u88c5\u7f6e \u4e2d\u56fd\u53d1\u660e\u4e13\u5229 \u7b2c2003094\u53f7 11)\u00a0\u4e00\u79cd\u969c\u788d\u7269\u68c0\u6d4b\u65b9\u6cd5\u548c\u88c5\u7f6e \u4e2d\u56fd\u53d1\u660e\u4e13\u5229 \u7b2c2141276\u53f7 12)\u00a0\u5e7f\u4e49\u884c\u4eba\u68c0\u6d4b\u65b9\u6cd5\u548c\u88c5\u7f6e \u4e2d\u56fd\u53d1\u660e\u4e13\u5229 \u7b2c2257629\u53f7 13)\u00a0\u57fa\u4e8e\u7acb\u9762\u7684\u8f66\u8f86\u524d\u7167\u706f\u7167\u5c04\u89d2\u5ea6\u68c0\u6d4b\u65b9\u6cd5\u3001\u88c5\u7f6e\u53ca\u7cfb\u7edf \u4e2d\u56fd\u53d1\u660e\u4e13\u5229 \u7b2c2127497\u53f7 14)\u00a0\u57fa\u4e8e\u7acb\u9762\u7684\u8f66\u8f86\u524d\u7167\u706f\u7167\u5c04\u89d2\u5ea6\u68c0\u6d4b\u65b9\u6cd5\u3001\u88c5\u7f6e\u53ca\u7cfb\u7edf \u4e2d\u56fd\u53d1\u660e\u4e13\u5229 \u7b2c2050923\u53f7<\/p>","protected":false},"excerpt":{"rendered":"

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