Výsledky vyhledávání

Environmental modeling with fingerprint sequences for topological global localization

Autor: Adriana Tapus, E. Glauser, P. Lamon, N. Tomatis, Roland Siegwart

Publikováno v: IROS 2006
IROS 2006, Oct 2006, Las Vegas, United States. pp.3781-3786, ⟨10.1109/IROS.2003.1249743⟩
Scopus-Elsevier
ResearcherID
Proceedings. 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), October 27-31, 2003, Las Vegas, Nevada
IROS

Proceedings. 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), October 27-31, 2003, Las Vegas, Nevada
ISBN:0-7803-7861-X
ISBN:0-7803-7860-1

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fcea8adf62daf69cb28444e31157293
https://hal.archives-ouvertes.fr/hal-01015892

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SLAM with comer features based on a relative map

Autor: N. Tomatis, Roland Siegwart, M. Altermatt, Agostino Martinelli

Publikováno v: IROS

This paper presents a solution to the simultaneous localization and mapping (SLAM) problem in the stochastic map framework for a mobile robot navigating in an indoor environment. The approach is based on the concept of the relative map. The idea cons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::01c1b0d6af801184ad6b8fa9e16483bb
https://doi.org/10.1109/iros.2004.1389536

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Some results on SLAM and the closing the loop problem

Autor: Roland Siegwart, Agostino Martinelli, N. Tomatis

Publikováno v: IROS

This paper addresses the closing loop problem as the challenge of using all the information from the observation gathered when closing the loop in order to optimally adjust the whole map (assuming a correct data association). The proposed approach is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3abeb8a20703a31ef1bf762a28fd45ea
https://doi.org/10.1109/iros.2005.1545003

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Real-time obstacle avoidance for polygonal robots with a reduced dynamic window

Autor: J. Persson, Kai O. Arras, N. Tomatis, Roland Siegwart

Publikováno v: ICRA
Scopus-Elsevier

In this paper we present an approach to obstacle avoidance and local path planning for polygonal robots. It decomposes the task into a model stage and a planning stage. The model stage accounts for robot shape and dynamics using a reduced dynamic win

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::649db0d22005af7386fd7a70289b6126
https://doi.org/10.1109/robot.2002.1013695

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Simultaneous localization and map building: a global topological model with local metric maps

Autor: N. Tomatis, Roland Siegwart, Illah Nourbakhsh

Publikováno v: IROS

In this paper an approach combining the metric and topological paradigm for simultaneous localization and map building is presented. The main idea is to connect local metric maps by means of a global topological map. This allows a compact environment

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5a83743db1ba8c7c63aaf6d6408b3e6
https://doi.org/10.1109/iros.2001.973393

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Sensordatenfusion zur Robusten und präzisen EKF Lokalisierung von mobilen Robotern

Autor: Kai O. Arras, N. Tomatis

Publikováno v: Information aktuell
Autonome Mobile Systeme 1999: 15. Fachgespräch, München, 26.-27. November 1999
Informatik aktuell ISBN: 9783540667322
AMS

Information aktuell
ISSN:1431-472X
Autonome Mobile Systeme 1999: 15. Fachgespräch, München, 26.-27. November 1999
ISBN:3-540-66732-6
ISBN:978-3-642-59708-4

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8a1020c5e42335df797c96bba8d5b17

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A Comparison of Line Extraction Algorithms using 2D Laser Rangefinder for Indoor Mobile Robotics

Autor: N. Tomatis, Roland Siegwart, Agostino Martinelli, V.T. Nguyen

Publikováno v: IROS

This paper presents an experimental evaluation of different line extraction algorithms on 2D laser scans for indoor environment. Six popular algorithms in mobile robotics and computer vision are selected and tested. Experiments are performed on 100 r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b9294b1d30e04b54e063feb1c5f2a95
https://infoscience.epfl.ch/record/97571

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Simultaneous localization and odometry calibration for mobile robot

Autor: N. Tomatis, Agostino Martinelli, Roland Siegwart, Adriana Tapus

Publikováno v: ResearcherID
IROS 2003
IROS 2003, Oct 2003, Las Vegas, United States. pp.1499-1504, ⟨10.1109/IROS.2003.1248856⟩
Scopus-Elsevier
IROS

International audience; This paper presents both the theory and the first experimental results of a new method which allows simultaneous estimation of the robot configuration and the odometry error (both systematic and non-systematic) during the mobi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a1fbeb307524ace7a0672f439473255
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=INSPEC&KeyUT=INSPEC:7914633&KeyUID=INSPEC:7914633

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