Mobile Robotics 2 (engl.)
This course will be a research oriented course that provides an introduction into scientific work, writing papers, etc. Besides classical lectures, students will be required to carry out scientific work, implement own ideas, and evaluate them appropriately.General Information:
- Lecturers: Prof. Dr. Wolfram Burgard, PD Dr. Cyrill Stachniss, Dr. Giorgio Grisetti, Jun-Prof. Dr. Kai Arras, Jun-Prof. Dr. Maren Bennewitz
- Lectures/Exercises: Tuesday 10-12, Friday 11-13, Building 106 - SR 00 007 (MMR)
- The first lecture will take place on Friday 22.10.2010, 11:15
Slides:
- Introduction
- LaTeX Tutorial
- Gnuplot Tutorial
- A Compact Course on Linear Algebra
- Least Square Estimation
- Odometry Calibration (files for practical)
- Least Squares SLAM
- Implementing Least Squares SLAM
- Landmark-based Least Squares SLAM
- TORO
- Camera Calibration
- ROS Overview
- ROS PCL
- Clustering
- AdaBoost
- Data Association
- Tracking
- 3D Object Recognition
- How to Write a Paper
- Statistical Testing