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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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Electric machine - Motor - Gennerator

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《Head First Java》是本完整的面向对象（object-oriented，OO）程序设计和Java的学习指导。此书是根据学习理论所设计的，让你可以从学习程序语言的基础开始一直到包括线程、网络与分布式程序等项目。最重要的，你会学会如何像个面向对象开发者一样去思考。

The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the coding (compression) of natural video images. The new standard [1] will be known as H.264 and also MPEG-4 Part 10, “Advanced Video Coding”. The standard specifies two types of entropy coding: Context-based Adaptive Binary Arithmetic Coding (CABAC) and Variable-Length Coding (VLC). This document provides a short introduction to CABAC. Familiarity with the concept of Arithmetic Coding is assumed.-The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard forthe coding (compression) of natural video images. The new standard [1] will be known as H.264 andalso MPEG-4 Part 10,