文件名称:project1.tar
介绍说明－－下载内容来自于网络，使用问题请自行百度
华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM-You are to write a particle filter and a Kalman filter for robot localization. The scr ipt generates motion information according to the odometry-based motion model. Observations are landmark detections. Each landmark has a unique ID.
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下载文件列表
./
./project1.tar.gz
./cvecrep.m
./run.m
./generateScript.m
./plotmarker.m
./ekfUpdate.m
./endPoint.m
./generateMotion.m
./sampleOdometry.m
./getfieldinfo.m
./pfUpdate.m
./meanAndVariance.m
./resample.m
./matlab.el
./observation.m
./minimizedAngle.m
./initSamples.m
./plotrobot.m
./plotcircle.m
./plotcov2d.m
./plotfield.m
./prediction.m
./rotcov.m
./sample.m
./plotSamples.m
./project1.tar.gz
./cvecrep.m
./run.m
./generateScript.m
./plotmarker.m
./ekfUpdate.m
./endPoint.m
./generateMotion.m
./sampleOdometry.m
./getfieldinfo.m
./pfUpdate.m
./meanAndVariance.m
./resample.m
./matlab.el
./observation.m
./minimizedAngle.m
./initSamples.m
./plotrobot.m
./plotcircle.m
./plotcov2d.m
./plotfield.m
./prediction.m
./rotcov.m
./sample.m
./plotSamples.m
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