C_语言常见问题集 对于初学C语言的许多困惑，你可以在这里找到答案。...

高效编程 中度的c++人士学习使用 -efficient programming moderate c learn to use

J2ME开发环境相关东西-J2ME development environment-related things

IEEE 802.11g-2003 IEEE Standard for Information technology―Telecommunications and information exchange between systems―Local and metropolitan area networks―Specific requirements―Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications―Amendment 4: Further Higher-Speed Physical Layer Extension in the 2.4 GHz Band-IEEE 802.11g-2003 IEEE Standard for Information technology-Telecommunications and information exchange between systems-Local and metropolitan area networks-Specific requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications-Amendment 4: Further Higher-Speed Physical Layer Extension in the 2.4 GHz Band

Koenig和Moo编写，对C++寓言的历史和特点，类和继承，STL和泛型编程，库的设计等几大技术进行了详细深入的讨论-Koenig and Moo prepared for C++ Fables history and characteristics, class and inheritance, STL and generic programming, library design, and so on several major technology thoroughly discussed

ELF 文件格式详解，为想学习动态加载技术的基础教材-Detailed ELF file format

C_语言常见问题集 对于初学C语言的许多困惑，你可以在这里找到答案。-Frequently Asked Questions C_ language learning C language for the many confusing, you can find the answers here.

vc下利用gpu实现火焰的实时模拟！ -vc using GPU to achieve real-time simulation of the flame!

voip前景广泛，各位初学者者不妨看看这份教程 ，很有帮助。-voip broad prospects, you may wish to take a look at this beginners tutorial and helpful.

We present a real-time model-based vision approach for detecting and tracking vehicles from a moving platform. It was developed in the context of the CMU Navlab project and is intended to provide the Navlabs with situational awareness in mixed trac. Tracking is done by combining a simple image processing technique with a 3D extended Kalman lter and a measurement equation that projects from the 3D model to image space. No ground plane assumption is made. The resulting system runs at frame rate or higher, and produces excellent estimates of road curvature, distance to and relative speed of a tracked vehicle. We have complemented the tracker with a novel machine learning based algorithm for car detection, the CANSS algorithm, which serves to initialize tracking

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