The Autonomous City Explorer (ACE) Project--Mobile Robot Navigation in Highly Populated Urban Environments

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#Andrea Bauer #Klaas Klasing #Tingting Xu #Stefan Sosnowski #Georgios Lidoris #Quirin Mhlbauer #Tianguang Zhang #Florian Rohrmller #Dirk Wollherr #Kolja Khnlenz #Martin Buss #Autonomous City Explorer ACE project #topological representation #lowlevel navigation #semantic representation of an urban environment #outdoor localization #traversability assessment #path planning #behavior selection #topological abstraction

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.

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.

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