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这个程序是用matlab实现的车辆跟踪。用到的算法是协方差，包括梯度，rgb颜色，边缘，距离等多种元素。-This program is a vehicle tracking using matlab. The algorithm used is the covariance, including gradient, rgb color, the edge from the other elements.
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车辆检测跟踪,采用matlab编程，可对车辆进行目标跟踪与检测-Vehicle detection and tracking
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马氏过程的应用很广， 机器人路径计划， 自动飞行器导航，多目标跟踪， 电梯计划， 网络交换和路由， 银行客户保有等等。-Application of Markov process is broad, robot path plan, automatic vehicle navigation, multi-target tracking, lift plans, network switching and routing, bank customers to maintain and so on.
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视频中的车辆检测与追踪,光流算法。利用matlab实现-Vehicle Detection and tracking form video frame sequence(OpticalFlow)
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本人编写的matlab程序，采用混合高斯模型和改进的CV模型相结合的目标跟踪算法，能够准确的跟踪出车辆与行人-I prepared matlab procedures, target tracking algorithm using Gaussian mixture model and improved CV model combining the ability to accurately track the vehicle and pedestrian
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根据GMM经典论文Adaptive background mixture models for real-time tracking写的matlab源码，利用GMM背景建模并提取车辆，完全忠实于原论文-According GMM classic paper Adaptive background mixture models for real-time tracking matlab source code written using GMM background modeling and ex
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图像处理方面，可以实现在两车交汇时对车辆的准确定位与跟踪。是MATLAB与卡尔曼滤波的结合-In image processing, it can realize the accurate location and tracking of the vehicle at the intersection of the two vehicles, which is the combination of MATLAB and Calman filter.
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智能车辆基于斯坦福大学纯跟踪几何方法建立的横向控制策略，MATLAB-Lateral control strategy based Intelligent Vehicle Tracking Stanford pure geometry established method, MATLAB
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无人驾车车轨迹跟踪控制，是目前社会研究的重点。本程序代码实现matlab联合carsim进行联合仿真，实现追踪给定轨迹。经测试，在低速状态，追踪效果很理想。(Unmanned driving vehicle trajectory tracking control, is currently the focus of social research.This procedure code realization of matlab joint carsim joint simulation, tr
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基于matlab的车辆轨迹跟踪的MPC仿真程序，用m语言编写，软件版本为2017a。(Based on matlab vehicle trajectory tracking MPC simulation program, written in m language, the software version is 2017a.)
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基于模型预测控制设计的无人驾驶车辆轨迹跟踪问题，内附有MATLAB程序与详细的建模过程，研究车辆转向的同学可以作为参考(The trajectory tracking of unmanned vehicles based on model predictive control design is accompanied by MATLAB programming and detailed modeling process. Students studying the steering of th
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《无人驾驶模型预测控制》由北京理工大学陈慧岩教授团队编著，详细介绍了应用模型预测控制理论进行无人驾驶车辆控制的基础方法，结合运动规划与跟踪实例详细说明了预测模型建立、方法优化、约束处理和反馈校正的方法，给出了Matlab仿真代码和详细图解仿真步骤。
所有代码都详细提供了详尽的注解，本文件为第六章的所有程序代码(The prediction control of driverless model is compiled by Professor Chen Huiyan of Beijing Uni
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基于动力学学模型的轨迹跟踪控制，无人驾驶车辆模型预测控制第二版第五章(Trajectory tracking control based on dynamics model, Chapter 5 of model predictive control of driverless vehicle)
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通过纵向速度控制与侧向路径跟随，实现车辆轨迹跟踪功能(Through longitudinal speed control and lateral path following, the function of vehicle trajectory tracking is realized)
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