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Can I read FastSLAM : a scalable method for the simultaneous localization and mapping problem in robotics on EtoBox?
FastSLAM : a scalable method for the simultaneous localization and mapping problem in robotics by Dr. Michael Montemerlo, Dr. Sebastian Thrun (auth.) is a nonfiction available to read on EtoBox.
What is FastSLAM : a scalable method for the simultaneous localization and mapping problem in robotics about?
This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.
Who reads FastSLAM : a scalable method for the simultaneous localization and mapping problem in robotics?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dr. Michael Montemerlo, Dr. Sebastian Thrun (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2007
- Language
- EN
- ISBN
- 9786610852994
- Category
- nonfiction
- Subjects
- Engineering, Stem
Other editions & translations
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