Name
Abstract | ||
|---|---|---|
This paper presents a new approach for the classical Markov localization method for mobile robots by using image quality evaluation. Machine learning techniques have been used to obtain the quality of the images. This quality value is used to select the best information source, between odometry and sensor information. Real experiments in different scenarios of the Robocup standard platform league are also presented. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICARCV.2008.4795698 | Hanoi |
Keywords | Field | DocType |
Markov processes,distance measurement,learning (artificial intelligence),mobile robots,path planning,robot vision,Markov-based localization approach,Robocup standard platform league,image quality evaluation,machine learning,mobile robot,odometry,sensor information,Markov models,Self-location,computer vision,four-legged robots | Computer vision,Markov process,Markov model,Visualization,Computer science,Markov chain,Odometry,Image quality,Artificial intelligence,Robot,Mobile robot | Conference |
ISBN | Citations | PageRank |
978-1-4244-2287-6 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José A. Gámez | 1 | 640 | 61.05 |
| Ismael García-varea | 2 | 275 | 36.16 |
| Jesus Martinez-gomez | 3 | 24 | 5.76 |
| Garcia-Varea, I. | 4 | 0 | 0.34 |
| Martinez-Gomez, J. | 5 | 0 | 0.34 |