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Contents

  • Getting Started
  • Introduction
  • Localization
  • Mapping
    • Gaussian grid map
    • Normal Distance Transform (NDT) map
    • Ray casting grid map
    • Lidar to grid map
    • Point cloud Sampling
    • k-means object clustering
    • Object shape recognition using circle fitting
    • Object shape recognition using rectangle fitting
    • Normal vector estimation
  • SLAM
  • Path Planning
  • Path Tracking
  • Arm Navigation
  • Aerial Navigation
  • Bipedal
  • Control
  • Utilities
  • Appendix
  • How To Contribute
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  • Mapping
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Mapping

Contents

  • Gaussian grid map
  • Normal Distance Transform (NDT) map
    • Normal Distribution
    • Normal Distance Transform mapping steps
    • API
  • Ray casting grid map
  • Lidar to grid map
  • Point cloud Sampling
    • Voxel Point Sampling
    • Farthest Point Sampling
    • Poisson Disk Sampling
  • k-means object clustering
  • Object shape recognition using circle fitting
  • Object shape recognition using rectangle fitting
    • Step1: Adaptive range segmentation
    • Step2: Rectangle search
    • API
    • References
  • Normal vector estimation
    • Normal vector calculation of a 3D triangle
    • Normal vector estimation with RANdam SAmpling Consensus(RANSAC)
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