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项目作者： MaxLing

项目描述 ：
SLAM with occupancy grid and particle filter, using lidar, joints, IMU and odometry data from THOR humanoid robot
高级语言： Python
项目地址: git://github.com/MaxLing/particle_filter_SLAM.git
创建时间： 2018-03-15T01:02:27Z
项目社区：https://github.com/MaxLing/particle_filter_SLAM
开源协议：
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Upenn ESE650 Learning in Robotics, Project 4

  1. Put lidar and joint data .m file into folder .\train\data
  2. Modify data_idx and dir in SLAM.py
  3. Run SLAM.py, the tunning on map and particles can be done in init_SLAM()
  4. a sequence of map plot will be shown, the last plot will be saved
    occupied grid is in black, free grid is in white, undetermined is in gray, robot trajectory in blue and lidar scan of the best particle in green
    train2
    test
ESE650_2018_Project4_1647580702110.pdf
config_slam_1647580710991.pdf
ground_detection_1647580711079.pdf
guidance_slam_1647580711194.pdf
jiwhuh_proj3_1647580711418.pdf
wudao_project4_1647580711835.pdf