The autonomous city explorer project

Andrea Bauer; Klaas Klasing; Tingting Xu; Stefan Sosnowski; Georgios Lidoris; Quirin Mühlbauer; Tinguang Zhang; Florian Rohrmüller; Dirk Wollherr; Kolja Kühnlenz; Martin Buss

doi:10.1109/ROBOT.2009.5152460

The autonomous city explorer project

Andrea Bauer, Klaas Klasing, Tingting Xu, Stefan Sosnowski, Georgios Lidoris, Quirin Mühlbauer, Tinguang Zhang, Florian Rohrmüller, Dirk Wollherr, Kolja Kühnlenz, Martin Buss

Lehrstuhl für Steuerungs- und Regelungstechnik

Technische Universität München

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

5 Zitate (Scopus)

Abstract

This video presents the Autonomous City Explorer (ACE) project. Its goal was to create a robot capable of navigating unknown urban environments without the use of GPS data or prior map knowledge. The robot had to find its way solely by interacting with pedestrians and building a topological representation of its surroundings. This video outlines the necessary ingredients for successful low-level navigation on sidewalks, information retrieval from pedestrians as well as the construction of a semantic representation of an urban environment. A system architecture for outdoor localization, traversability assessment, path planning, behavior selection and topological abstraction in urban environments is presented.

Originalsprache	Englisch
Aufsatznummer	5152460
Seiten (von - bis)	1595-1596
Seitenumfang	2
Fachzeitschrift	Proceedings - IEEE International Conference on Robotics and Automation
DOIs	https://doi.org/10.1109/ROBOT.2009.5152460
Publikationsstatus	Veröffentlicht - 2009
Veranstaltung	2009 IEEE International Conference on Robotics and Automation, ICRA '09 - Kobe, Japan Dauer: 12 Mai 2009 → 17 Mai 2009

Zugriff auf Dokument

10.1109/ROBOT.2009.5152460

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

@article{89ee9830d2494de3bd0c582ba0d9b19a,

title = "The autonomous city explorer project",

abstract = "This video presents the Autonomous City Explorer (ACE) project. Its goal was to create a robot capable of navigating unknown urban environments without the use of GPS data or prior map knowledge. The robot had to find its way solely by interacting with pedestrians and building a topological representation of its surroundings. This video outlines the necessary ingredients for successful low-level navigation on sidewalks, information retrieval from pedestrians as well as the construction of a semantic representation of an urban environment. A system architecture for outdoor localization, traversability assessment, path planning, behavior selection and topological abstraction in urban environments is presented.",

author = "Andrea Bauer and Klaas Klasing and Tingting Xu and Stefan Sosnowski and Georgios Lidoris and Quirin M{\"u}hlbauer and Tinguang Zhang and Florian Rohrm{\"u}ller and Dirk Wollherr and Kolja K{\"u}hnlenz and Martin Buss",

note = "Publisher Copyright: {\textcopyright} 2009 IEEE.; 2009 IEEE International Conference on Robotics and Automation, ICRA '09 ; Conference date: 12-05-2009 Through 17-05-2009",

year = "2009",

doi = "10.1109/ROBOT.2009.5152460",

language = "English",

pages = "1595--1596",

journal = "Proceedings - IEEE International Conference on Robotics and Automation",

issn = "1050-4729",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - The autonomous city explorer project

AU - Bauer, Andrea

AU - Klasing, Klaas

AU - Xu, Tingting

AU - Sosnowski, Stefan

AU - Lidoris, Georgios

AU - Mühlbauer, Quirin

AU - Zhang, Tinguang

AU - Rohrmüller, Florian

AU - Wollherr, Dirk

AU - Kühnlenz, Kolja

AU - Buss, Martin

PY - 2009

Y1 - 2009

N2 - This video presents the Autonomous City Explorer (ACE) project. Its goal was to create a robot capable of navigating unknown urban environments without the use of GPS data or prior map knowledge. The robot had to find its way solely by interacting with pedestrians and building a topological representation of its surroundings. This video outlines the necessary ingredients for successful low-level navigation on sidewalks, information retrieval from pedestrians as well as the construction of a semantic representation of an urban environment. A system architecture for outdoor localization, traversability assessment, path planning, behavior selection and topological abstraction in urban environments is presented.

AB - This video presents the Autonomous City Explorer (ACE) project. Its goal was to create a robot capable of navigating unknown urban environments without the use of GPS data or prior map knowledge. The robot had to find its way solely by interacting with pedestrians and building a topological representation of its surroundings. This video outlines the necessary ingredients for successful low-level navigation on sidewalks, information retrieval from pedestrians as well as the construction of a semantic representation of an urban environment. A system architecture for outdoor localization, traversability assessment, path planning, behavior selection and topological abstraction in urban environments is presented.

UR - http://www.scopus.com/inward/record.url?scp=84908396029&partnerID=8YFLogxK

U2 - 10.1109/ROBOT.2009.5152460

DO - 10.1109/ROBOT.2009.5152460

M3 - Conference article

AN - SCOPUS:84908396029

SN - 1050-4729

SP - 1595

EP - 1596

JO - Proceedings - IEEE International Conference on Robotics and Automation

JF - Proceedings - IEEE International Conference on Robotics and Automation

M1 - 5152460

T2 - 2009 IEEE International Conference on Robotics and Automation, ICRA '09

Y2 - 12 May 2009 through 17 May 2009

ER -

The autonomous city explorer project

Abstract

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Dieses zitieren