VISUAL C++ Realize mixed language programming with the MATLAB source code

网络综合布线系统与施工技术-Network Cabling System and Construction Technology

精通Struts技术,为了更深刻的理解Struts框架，你必须先理解MVC设计模式，Struts技术的就是基于MVC设计模式的-Struts technical proficiency, in order to more profound understanding of Struts framework, you must first understand the MVC design pattern, Struts technology is based on the MVC design pattern

简单的鼠标操作,主要用的是MFC编程，使用了几个控件-simple shubiao

关于CMS发动机资料,可用J1939实现其通讯-CMS engine on information available to achieve its J1939 communications

Introduction to Kernel Extension Concepts 1:Hello Kernel: Creating a Kernel Extension With Xcode 2:Hello I/O Kit: Creating a Device Driver With Xcode 3:Hello Debugger: Debugging a Device Driver With GDB 4:Packaging Your KEXT for Distribution and Installation 5:Loading Kernel Extensions at Boot Time 6:Kernel Extension Dependencies 7：Kernel Extension Ownership and Permissions

电子电路百科全书，对电子爱好者的入门有帮助。-Encyclopedia of electronic circuits, electronic enthusiasts entry helpful.

java入门，适合新手 第一章 Java语言的产生及其特点 第二章 Java程序开发与运行环境 第三章 Java程序设计基础 第四章 Java应用程序的基本框架 第五章 Java的类 第六章 Java图形用户接口 第七章 多线程 第八章 Java的"异常" 第九章 Java输入输出操作-java entry, suitable for novice first chapter of the Java language and its characteristics have a chapter Java developers with Java runtime environment Chapter III Chapter IV program design based on Java applications, the basic framework of Chapter V Chapter VI Java class Java graphical user Interface Chapter VII Chapter VIII of the multi-threaded Java

《visual foxpro 6.0程序设计》电子教案- "visual foxpro 6.0 Programmings" the electron teaches the document

非常著名的一本书，学习Linux内核的必备。-Well-known a book to learn the necessary Linux kernel.

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