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机译:基于区域小波表示的基于学习的车道检测方法
Hangzhou Dianzi Univ Sch Elect & Informat Hangzhou Peoples R China;
Zhejiang Gongshang Univ Sch Comp & Informat Engn Hangzhou Peoples R China;
Zhejiang Gongshang Univ Sch Comp & Informat Engn Hangzhou Peoples R China|Eastern Mediterranean Univ Dept Elect & Elect Engn Via Mersin 10 Gazimagusa Turkey;
feature extraction; learning (artificial intelligence); image classification; principal component analysis; image representation; image block; lane marking; learning-based method; lane localisation; weak classifier; lane detection; regionlet feature representation; intelligent applications; marker line segmentation; feature extraction; cascade structure detector; AdaBoost algorithm; principal component analysis;
机译:深度区域:通用物体检测的混合表示和深度学习
机译:基于深入学习的方法对车道标记检测的梯度的边缘效应
机译:基于学习的车道改变行为检测智能和连通车辆
机译:基于最佳车道标记的车道检测和跟踪:方法和评估
机译:使用基于机器学习的API呼叫的威胁检测模型对Windows平台上的赎金软件检测
机译:基于学习的车道改变行为检测智能和连通车辆
机译:基于学习的车道改变行为检测智能和连通车辆