297 search results - page 3 / 60 » Monte Carlo Localization Using SIFT Features |
144
Voted
AMS
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. In this paper we consider the problem of active mobile robot localization with range sensors in outdoor environments. In contrast to passive approaches our approach activ...
157
Voted
JFR
2008
15 years 2 months ago
2008
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
135
Voted
FSR
2007
Springer
15 years 8 months ago
2007
Springer
90
Voted
EUROS
2006
15 years 6 months ago
2006
210
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
SIFT has been proven to be the most robust local invariant feature descriptor. SIFT is designed mainly for gray images. However, color provides valuable information in object desc...