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源程序实现的是基于卡尔曼滤波的车辆检测与跟踪，并对车辆进行计数编号。,Source implementation is based on Kalman filtering vehicle detection and tracking, and count the number of vehicles.
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基于Mean_shift的运动目标跟踪算法，可实现高速公路车辆的检测-Moving Target Tracking Based on Mean_shift algorithm can achieve highway vehicle detection
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一辆车在前，一车在后，前车匀速，加速，转弯，后车跟踪的matlab程序。-The previous vehicle, a car after the vehicle speed, acceleration, turning, vehicle tracking matlab after the procedure.
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MATLAB的M语言编写，用于解决机器追踪的问题。机器状态估计由minimax滤波器完成。-This m-file simulates a vehicle tracking problem.The vehicle state is estimated with a minimax filter.In addition,with the a priori knowledge that the vehicle is on
a particular road, the vehicle stat
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平行接近法跟踪运载火箭系统拦截弹做匀速率运动。里面微分方程是用欧拉法求解的，为了提高精确度，改成四阶龙格库塔法-Parallel close to France Launch Vehicle Tracking System
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三点法跟踪运载火箭系统跟踪目标弹作匀速直线运动，拦截弹做匀速率运动。里面微分方程是用欧拉法求解的，为了提高精确度，改成四阶龙格库塔法-Tracking system to track the target missile launch vehicle for uniform linear motion, interceptor uniform rate of movement to do. Which is Euler' s method for solving differential
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此为一个跟踪前车的matlab仿真模型，其中包括了跟踪算法，和车辆2自由度模型。仿真结果表明可行。-This is a track the vehicle in front of the matlab simulation model, including the tracking algorithm, and the two degrees of freedom model of vehicle. Simulation results show that the feasible.
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一个KLMAN滤波的matlab程序,仿真了车辆行驶的跟踪过程-A KLMAN filter matlab program, the simulation process of tracking a moving vehicle
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车辆位置跟踪，交互多模型matlab程序-Vehicle location tracking, interacting multiple model matlab program
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智能交通系统中基于视频图像处理的车辆检测与跟踪方法综述-Intelligent transportation systems based on video image processing of vehicle detection and tracking methods were reviewed
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考虑两辆车在道路上同向行驶，在O-16s时，两车均保持匀速直线运动，由安装在后车上的车载毫米波雷达检测出与前车的距离为150m，相对速度为-3m/s，方位角 。在16-20s时，前车向右偏转，与后车的相对角加速度为 。后车加速，与前车的纵向相对加速度为 。雷达的扫描周期为T=0.1s，系统噪声为 ， 。量测误差为 。-Consider the two cars traveling the same direction on the road, in the O-16s, the two vehi
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实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪。-The vehicle to achieve the target of the background modeling, foreground detection, shadow elimination, vehicle tracking.
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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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在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle track
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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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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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