CS-598 MAAV - Outline

Here is roughly the topics I'll cover and when.

Week ending Topics
26 Aug Basic neural networks
4 Sep Basic image classification and detection
11 Sep
  • ROS
  • PACMOD
  • Simple PID control
18 Sep
  • Registration and correspondence
  • Lidar mapping
  • ICP, IRLS
  • Lidar localization using ICP, IRLS
25 Sep
  • Filtering
    • Kalman filter
    • Particle filter
  • 2D Tracking
2 Oct
  • Cameras
    • lenses, calibration, homogeneous coords
    • spherical cameras, omnidirectional cameras, etc.
  • Pairs of cameras
    • geometric stereopsis
    • optic flow
    • visual odometry
  • More than two cameras
    • point based affine SFM
    • perspective effects; uncalibrated cameras
    • meshes
9 Oct
  • SLAM
  • Simple motion planning
16 Oct
  • 3D reconstruction II
  • Stereo II
23 Oct Detection II
30 Oct Segmentation II:
  • Image regression as a tool
  • CRFs and CRF Inference
6 Nov
  • Instance segmentation
  • scene representations
13 Nov Reinforcement learning