AAAI
2011
12 years 4 months ago
2011
Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle ...
RAS
2008
13 years 4 months ago
2008
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
KI
2007
Springer
13 years 4 months ago
2007
Springer
Abstract. In this paper, we present a system for simultaneous localization and map building of a mobile robot, based on an attentional landmark detector. A biologically motivated a...
TROB
2008
13 years 4 months ago
2008
This paper is centered around landmark detection, tracking and matching for visual SLAM (Simultaneous Localization And Mapping) using a monocular vision system with active gaze con...
ICCV
2007
IEEE
13 years 6 months ago
2007
IEEE
Our goal is to create a visual odometry system for robots and wearable systems such that localization accuracies of centimeters can be obtained for hundreds of meters of distance ...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This paper presents a new decentralized method for selecting visual landmarks in a structured environment. Different images, issued from the different places, are analyze...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
— In this paper, we introduce a new method to automatically detect useful landmarks for visual SLAM. A biologically motivated attention system detects regions of interest which ...
WAPCV
2007
Springer
13 years 10 months ago
2007
Springer
Visual attention regions are useful for many applications in the field of computer vision and robotics. Here, we introduce an application to simultaneous robot localization and ma...
IROS
2009
IEEE
13 years 11 months ago
2009
IEEE
— Simultaneous Localization and Mapping (SLAM) based on visual information is a challenging problem. One of the main problems with visual SLAM is to find good quality landmarks,...