RobotLocalization
所属分类：物联网
开发工具：matlab
文件大小：616KB
下载次数：15
上传日期：2020-03-04 20:05:32
上 传 者：
飞飞飞12138
说明： 机器人研究的核心就是:导航定位、路径规划、避障、多传感器融合。定位算法:基于滤波器的定位算法主要有KF、SEIF、PF、EKF、UKF等。
(The core of robot research is navigation, path planning, obstacle avoidance, multi-sensor fusion. Positioning algorithm: the positioning algorithm based on filter mainly includes KF, seif, PF, EKF, UKF, etc.)
文件列表:
RobotLocalization\30957\1-sk16910-CW1.zip (9814, 2019-10-23)
RobotLocalization\30957\2-sk16910-CW1.zip (6156, 2019-10-23)
RobotLocalization\30957\calAngle.m (150, 2019-10-23)
RobotLocalization\30957\calDisInMap.m (370, 2019-10-23)
RobotLocalization\30957\calMove.m (271, 2019-10-23)
RobotLocalization\30957\calWeight.m (148, 2019-10-23)
RobotLocalization\30957\daylate\results_sk16910.mat (1633, 2019-10-23)
RobotLocalization\30957\Dijkstra.m (2829, 2019-10-23)
RobotLocalization\30957\extendSeg.m (163, 2019-10-23)
RobotLocalization\30957\isConvex.m (165, 2019-10-23)
RobotLocalization\30957\isIntersected.m (404, 2019-10-23)
RobotLocalization\30957\localise.m (5280, 2019-10-23)
RobotLocalization\30957\Queue.m (892, 2019-10-23)
RobotLocalization\30957\shrinkMap.m (872, 2019-10-23)
RobotLocalization\30957\vectorProduct.m (158, 2019-10-23)
RobotLocalization\BotSim.m (14545, 2019-10-23)
... ...
# RobotLocalization
Uses particle filter to detect the position and orientation of a robot in a designated field space and then uses an efficient path planning algorithm to move the robot to a target location.
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