39 search results - page 2 / 8 » Supervised Linear Feature Extraction for Mobile Robot Locali... |
ICIC
2009
Springer
13 years 10 months ago
2009
Springer
Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant...
RAS
2006
13 years 5 months ago
2006
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially...
ICRA
2002
IEEE
13 years 10 months ago
2002
IEEE
In this paper we present a vision-based approach to mobile robot localization, that integrates an image retrieval system with Monte-Carlo localization. The image retrieval process...
EUROS
2006
13 years 9 months ago
2006
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
ML
1998
ACM
13 years 5 months ago
1998
ACM
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...