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p213
- 卡尔曼滤波器估计机器人运动轨迹,使用激光和超声波进行观察。画出估计轨迹图和实际轨迹图。-Kalman filter estimated the robot trajectory, the use of laser and ultrasonic observation. Draw the estimated trajectories and actual trajectories.
p222
- 卡尔曼滤波器完成多传感器融合算法,不同机器人的不同传感器对足球位置进行估计,融合不同传感器数据得到精确估计-Kalman filter to complete the multi-sensor fusion algorithm, the different sensors of the robot football position estimates, the integration of different sensor data accurate estimate of
Slam2D1
- 概率机器人基于卡尔曼滤波器实现实时定位和地图创建(SLAM)的算法,用matlab编写,涵盖了机器人二维场景。-The simultaneous localization and mapping algorithm based on the Kalman filter. Robot work enviroment is 2D.
Slam1D1
- 概率机器人基于卡尔曼滤波器实现实时定位和地图创建(SLAM)的算法,用matlab编写,涵盖了机器人一维场景。-mapping algorithm based on the Kalman filter. Robot work enviroment is 1D.
Slam3D1
- 概率机器人基于卡尔曼滤波器实现实时定位和地图创建(SLAM)的算法,用matlab编写,涵盖了机器人三维的场景。-mapping algorithm based on the Kalman filter . Robot work is 3D.
Kkallmanfileea
- 卡尔曼滤波C程序源码 卡尔曼滤波器是一个“optimal recursive data processing algorithm(最优化自回归数据处理算法)”。对于解决非常大部分的问题,他是最优,效率率最高甚甚至是最有用的。他的广泛应用已经超过30年,包含机器人导航,控制,传感器数据融合甚至在军事方面的雷达系统和导弹追踪等等。近年来更被应用于计算机图像处理,例如头脸识别,图像分割,图像边缘检测等等。 -C program source code of Kalman filter Kalman
RRobot_Localio
- 机器人定位与kalman滤波波的学位论文与源程序可直接使用。 -The robot positioning kalman filtering wave Dissertation source can be used directly.
Balance_Car0
- 利用AVR做主控芯片的自平衡小车,外围器件有加速度计、陀螺仪、编码器等。利用加速度计与陀螺仪检测出现态的角度,通过卡尔曼滤波得出数据,再做出相应的调节。能实现小车的自平衡。-Self-Balancing Robot using AVR master chip peripheral devices accelerometer, gyroscope, encoder. Accelerometers and gyroscopes to detect the presence of the state&
RobotmobileKalmanMoufid
- Control and Localization of Robot Mobile Using EKF KALMAN FILTER ( Student : Moufid Bouhentala )-Control and Localization of Robot Mobile Using EKF KALMAN FILTER ( Student : Moufid Bouhentala )
balance-
- 自平衡小车整体源代码,包括主程序,卡尔曼滤波,串口通信以及I/O口的使用。-Self-Balancing Robot overall source code, including the main program, the Kalman filter, the use of serial communication, and I/O port.
ufs2627
- slam代码,扩展卡尔曼滤波,输入时两个轮子的速度以及采集到的Landmark标志点与移动机器人的相对坐标-slam code, extended Kalman filter, the input speed of the two wheels, as well as the acquisition Landmark signs point to the relative coordinates of the mobile robot
The-principle-of-Calman-filter
- 卡尔曼滤波器是一个“optimal recursive data processing algorithm(最优化自回归数据处理算法)”。对于解决很大部分的问题,他是最优,效率最高甚至是最有用的。他的广泛应用已经超过30年,包括机器人导航,控制,传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理,例如头脸识别,图像分割,图像边缘检测等等。-Kalman filter is an " optimal recursive data processing a
EKF
- 此程序为基于扩展卡尔曼滤波的移动机器人的组合导航程序,移动机器人的传感器包括stero vision和encoder-This program is based on the extended Kalman filter for mobile robot navigation procedures, including mobile robot stero vision sensor and encoder
EKF_UKF_PF
- 这个事扩展卡尔曼滤波与无迹滤波的结合的一个matlab算法,初期学习机器人的可以参考-This thing extended Kalman filter and unscented filter combines a matlab algorithm, the robot can refer to the early learning
PathSmoothing
- Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.
ExtenedKalmanFilterLocalization
- Mobile robot localization sample code with Extended Kalman Filter (EKF). This code is useful for mobile robot navigation is performed using a Kalman filter.
SC
- 基于卡曼滤波的两关节机器人,目标跟踪控制系统。-Two joints, the robot based on kalman filtering, target tracking control system.
KLMAN
- 简单来说,卡尔曼滤波器是一个“optimal recursive data processing algorithm(最优化自回归数据处理算法)”。对于解决很大部分的问题,他是最优,效率最高甚至是最有用的。他的广泛应用已经超过30年,包括机器人导航,控制,传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理,例如头脸识别,图像分割,图像边缘检测等等。-In simple terms, the Kalman filter is an optimal recurs
RO_TIM
- 基于STM32单片机的球上平衡机器人,机器人能够平衡,涉及底层驱动、卡尔曼滤波、最优控制算法-Based on the STM32 microcontroller ball balancing robot, the robot can balance, involving low-level driver, Kalman filter, optimal control algorithm
SLAM
- matlab code for Extended Kalman filter. It is an online course for robot localization and mapping