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Successful approaches to the robot localization problem include Monte Carlo particle filters, which estimate non-parametric localization belief distributions. However, particle �...
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...
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...
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...
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 ...
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...
— 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 �...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
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...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
— 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,...