Map representation using hidden markov models for mobile robot localization
| Autor: | Oscar Arnoldo Escolero Fuentes, Luis Contreras, Marco Negrete, Jesus Savage |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Orientation (computer vision) Mobile robot Viterbi algorithm Symbol (chemistry) Computer Science::Robotics symbols.namesake lcsh:TA1-2040 symbols Robot Computer vision Artificial intelligence Localization system Hidden Markov model business Representation (mathematics) lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | MATEC Web of Conferences, Vol 161, p 03011 (2018) |
| Popis: | This paper describes a map representation and localization system for a mobile robot based on Hidden Markov Models. These models are used not only to find a region where a mobile robot is, but also they find the orientation that it has. It is shown that an estimation of the region where the robot is located can be found using the Viterbi algorithm with quantized laser readings, i.e. symbol observations, of a Hidden Markov Model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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