A growing number of sensors on smart mobile devices has led to rapid development of
various mobile applications using location-based or context-aware services. Typically …

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

Humans can use the Internet to share knowledge and to help each other accomplish
complex tasks. Until now, robots have not taken advantage of this opportunity. Sharing …

In this paper we present a prototype system for image based localization in urban
environments. Given a database of views of city street scenes tagged by GPS locations, the …

We have built an outdoors augmented reality system for mobile phones that matches
camera-phone images against a large database of location-tagged images using a robust …

Although it has been studied for several years by computer vision and machine learning
communities, image annotation is still far from practical. In this paper, we present …

Humans can use the Internet to share knowledge and to help each other accomplish
complex tasks. Until now, robots have not taken advantage of this opportunity. Sharing …

Lourakis, MI et al.,“The design and implementation of a generic sparse bundle adjustment
Software package based on the levenberg marquardt algorithm.” Tech. Rep. 340, Institute of …

The problem of using pictures of objects captured under ideal imaging conditions (here
referred to as in vitro) to recognize objects in natural environments (in situ) is an emerging …

In this paper, we propose a novel attempt of model-free image annotation which annotates
images by mining their search results. It contains three steps: 1) the search process to …