SLAM, Simultaneous Localization and Mapping
This course covers the general area of Simultaneous Localization and Mapping (SLAM). Initially the problems of localization, mapping, and SLAM are introduced from a methodological point of view. Different methods for representation of uncertainty will be introduced including their ability to handle single and multi-mode uncertainty representations. A number of example applications are discussed.
What you will learn:
- Discuss the general problem of SLAM and the dependency of solutions on different types of map representation and strategies to approach the data association problem
Related courses:
Who should attend: Electrical engineer, Systems engineer, Hardware engineer, Design engineer, Product engineer, Communication engineer
Instructor
Henrik I Christensen
Henrik I Christensen is the KUKA Chair of Robotics and a Distinguished Professor at the College of Computing, Georgia Institute of Technology. He earned his M.Sc. and Ph.D degrees from Aalborg University, 1987 and 1990, respectively. He was the founding chairman of the European network of excellence in robotics EURON. He has served as an IEEE Distinguished Lecturer and serves on the editorial board of IJRR, RAS, AI Magazine
Publication Year: 2007
ISBN: 978-1-7281-7815-8