# Kalman-Filter-Lidar-SLAM-algorithm-design
Kalman Filter Lidar SLAM algorithm design, January - March 2019
- Sensing the localization of landmarks from a map by using EKF SLAM algorithm based on Victoria Park Dataset
- Calculate the processing time of CPU and analyze the different sensing algorithm on MATLAB
基于matlab卡尔曼滤波器激光雷达SLAM算法设计
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2024-04-13
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【验】卡尔曼滤波器激光雷达SLAM算法设计-分析了基于运动学车辆模型的自动驾驶MPC横向控制算法，并测试了该算法在仿真环境下的性能和鲁棒性.zip （39个子文件） 
Kalman-Filter-Lidar-SLAM-algorithm-design-master ps2-code 
Task2.mp4 1.04MB slamsim 
plotSamples.m 205B generateScript.m 3KB meanAndVariance.m 510B plotcov2d.m 2KB sample.m 286B observation.m 489B getfieldinfo.m 1KB generateMotion.m 706B plotfield.m 840B minimizedAngle.m 132B plotrobot.m 433B sampleOdometry.m 626B plotmarker.m 127B deg2rad.m 42B runsim.m 8KB plotcircle.m 1KB prediction.m 439B Task3.mp4 5.42MB ekfupdate.m 5KB video.mp4 1.13MB da_known.m 1018B da_nn.m 2KB Task1.mp4 1.02MB vicpark #runvp.m# 3KB aa3_lsr2.mat 5.02MB plotbot.m 390B load_vp_si.m 501B aa3_dr.mat 1.18MB detectTreesI16.m 4KB aa3_gpsx.mat 88KB viewLsr.m 2KB runvp.m 5KB initialize_new_landmark.m 2KB da_jcbb.m 365B ekfpredict_sim.m 2KB run.m 3KB ekfpredict_vp.m 2KB README.md 320B资源评论
