武汉大学计算机学院的李明,李明（武汉大学教授）-优快云博客

该文集中探讨了智能交通系统中的关键技术，包括基于IMM跟踪的交叉路口安全驾驶轨迹生成模型，街景文字识别系统，以及智能车辆的交通标志检测和识别。此外，还涉及了车载无线视频监控系统和基于SVM的街景字符识别方法。这些研究为智能车辆的安全行驶和环境感知提供了理论支持。

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Tingting Zhou, Ming Li* ,Qi Wang, Fang Liu and Q. Li, Trajectory Generation Model based IMM Tracking for Safe Driving in Intersection Scenario," International Journal of Vehicular Technology Volume 2011 (2011),

Article ID103696, 8 pages.Yanjuan Song, Ming Li*，Reading Text in Street Views Using Adaboost: Towards a System for Searching Target Places，Intelligent Vehicles Symposium (IV?9) , P227-232, 2009,

EI IndexLong Chen, Qingquan Li, Ming Li*, Traffic Sign Detection and Recognition for Intelligent Vehicle，Intelligent Vehicles Symposium (IV11)Gao Ge，Ming Li，Research on pitch estimation algorithm，声学学报，P540, 2003.6 ,

EI Index 7877995Ming Li，Ruimin Hu, EmbeddedWireless Video Surveillance System for Vehicle，ISCIT2005，P434, 2005,

EI Index：064310195062PengMin，Ming Li*，The Street View Character Recognition Based on SVM，

2009 International Conference on Artificial Intelligence and Pattern Recognition (AIPR09), EI Index陈龙，李明，SmartVII：城市综合环境无人驾驶路面探测技术，自动化学报。