IAS-LAB PUBLICATIONS
W2789787686
Authors: A42 BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND
Published: 51
W2738676895
Authors: AREA MIN. 09 - Ingegneria industriale e dell'informazione; Non assegn; 2015-06-04T23:23:49Z
Published: title_year
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Authors: 435 HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY; eng 2-s2.0-7444257295
Journal: Italy||Italy||Italy||Japan
Published: false
DOI: University of Padua||University of Padua||National Research Council (ISIB-CNR)||Osaka University
Volume: Menegatti E.; Zoccarato M.; Pagello E.; Ishiguro H. Pages: Menegatti||Zoccarato||Pagello||Ishiguro-In this paper, we propose a way to fuse the image-based localisation approach with the Monte-Carlo localisation approach. The method we propose does not suffer of the major limitation of the two separated methods: the need of a metric map of the environment for the Monte-Carlo localisation and the failure of the image-based approach in environments with spatial periodicity (perceptual aliasing). The approach we developed exploits the properties of the Fourier Transform of the omnidirectional images and uses the similarity between the images to weights the beliefs about the robot position. Successful experiments in large indoor environment are presented in which we do not used a priory information on the metrical map of the environment.
scopus.description.abstract||scopus.description.allpeopleoriginal||scopus.identifier.doi||scopus.relation.issue||scopus.relation.volume
Authors: 1547 BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND; eng 2-s2.0-10744225779
Journal: Italy||United States||Italy||Italy||Italy||Italy||Italy||United Kingdom||Italy||Italy
Published: 52
Volume: Vaira D.; Vakil N.; Rugge M.; Gatta L.; Ricci C.; Menegatti M.; Leandro G.; Holton J.; Russo V.M.; Miglioli M. Pages: Vaira||Vakil||Rugge||Gatta||Ricci||Menegatti||Leandro||Holton||Russo||Miglioli-Background and aim: There are few data on the course of Helicobacter pylori infection in asymptomatic subjects. The aim of this study was to assess the effect of eradication therapy on the development of dyspeptic and gastro-oesophageal reflux disease in a cohort of asymptomatic individuals observed over a prolonged period. Methods: A total of 169 blood donors infected with H pylori who had volunteered for studies on eradication in 1990 formed the cohort. To be included in this cohort subjects had to have no symptoms, as determined by a validated symptom questionnaire at the baseline visit. Eighty eight subjects were infected with H pylori while 81 had successfully undergone eradication therapy. Subjects were followed up (annually) using the same symptom questionnaire and in 2000 they underwent repeat endoscopy. Results: Thirteen subjects developed symptoms during follow up. The incidence of symptoms in H pylori positive subjects was 1.893/100 person-years of follow up and in H pylori negative individuals 0.163/100 person-years of follow up. H pylori infected subjects were significantly more likely to develop symptoms (log rank test, p=0.003) as well as those infected with CagA positive strains (log rank test, p=0.017). The development of symptomatic gastro-oesophageal reflux disease was no different in individuals with and without eradication (odds ratio 0.57 (95% confidence interval 0.26-1.24); p=0.163). Conclusions: H pylori eradication prevents the development of dyspeptic symptoms and peptic ulcer disease in healthy asymptomatic blood donors and is not associated with an increase in the incidence of symptomatic gastro-oesophageal reflux disease.
W2050746535
Authors: A179 INDEPENDENCE SQUARE WEST CURTIS CENTER, STE 300, PHILADELPHIA, PA 19106-3399 USA
Published: 124
W196018086
Authors: AREA MIN. 09 - Ingegneria industriale e dell'informazione; Non assegn; JPN; ITA; 2015-06-05T04:29:54Z; 8391606570
Published: title_year
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Authors: eng 2-s2.0-84954460846
Journal: Italy||Italy||Italy||Italy||Italy
Published: IEEE Computer Society
4624349
Volume: Menegatti E.; Scarpa A.; Massarin D.; Ros E.; Pagello E. Pages: Menegatti||Scarpa||Massarin||Ros||Pagello-This paper presents a system designed to cooperatively track and share the information about moving objects using a multi-robot team. Every robot of the team is fitted with a different omnidirectional vision system running at different frame rates. The information gathered from every robot is broadcast to all the other robots and every robot fuses its own measurements with the information received from the teammates, building its own "vision of the world". The cooperation of the vision sensors enhances the capabilities of the single vision sensor. This work was implemented in the RoboCup domain, using our team of heterogeneous robot, but the approach is very general and can be used in any application where a team of robot has to track multiple objects. The system is designed to work with heterogeneous vision systems both in the camera design and in computational resources. Experiments in real game scenarios are presented.
W746125179
Authors: Non assegn; AREA MIN. 09 - Ingegneria industriale e dell'informazione; 2015-06-05T02:52:08Z
Published: title_year
scopus.description.abstract||scopus.subject.keywords||scopus.description.allpeopleoriginal
Authors: 267 RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS; eng 2-s2.0-2942729595
Journal: Italy||Japan||Japan
Published: false
DOI: University of Padua||VStone Co. Ltd.||Osaka University
Volume: Menegatti E.; Maeda T.; Ishiguro H. Pages: Menegatti||Maeda||Ishiguro-This paper proposes a new technique for vision-based robot navigation. The basic framework is to localise the robot by comparing images taken at its current location with reference images stored in its memory. In this work, the only sensor mounted on the robot is an omnidirectional camera. The Fourier components of the omnidirectional image provide a signature for the views acquired by the robot and can be used to simplify the solution to the robot navigation problem. The proposed system can calculate the robot position with variable accuracy ('hierarchical localisation') saving computational time when the robot does not need a precise localisation (e.g. when it is travelling through a clear space). In addition, the system is able to self-organise its visual memory of the environment. The self-organisation of visual memory is essential to realise a fully autonomous robot that is able to navigate in an unexplored environment. Experimental evidence of the robustness of this system is given in unmodified office environments. © 2004 Elsevier B.V. All rights reserved.
scopus.description.abstract||scopus.relation.conferencename||scopus.relation.conferencedate||scopus.identifier.isbn||scopus.description.allpeopleoriginal||scopus.relation.conferenceplace
Authors: eng 2-s2.0-14044265713
Journal: Italy||Italy||Italy
Published: doi
DOI: University of Padua||University of Padua||Institute ISIB of CNR Padua
Volume: Menegatti E.; Pretto A.; Pagello E. Pages: Menegatti||Pretto||Pagello-One of the most challenging issue in mobile robot navigation is the localization problem in densely populated environments. In this paper, we present a new approach for vision-based localization able to solve this problem. The omnidirectional camera is used as a range finder sensitive to the distance of color transitions, whereas classical range finders, like lasers or sonars, are sensitive to the distance of the nearest obstacles. The well-known Monte-Carlo localization technique was adapted for this new type of range sensor. The system runs in real time on a low-cost pc. In this paper we present experiments, performed in a crowded RoboCup Middle-size field, proving the robustness of the approach to the occlusions of the vision sensor by moving obstacles (e.g other robots); occlusions that are very likely to occur in a real environment. Although, the system was implemented for the RoboCup environment, the system can be used in more general environments.