Differences and Commonalities in Self-localization Accuracy of Humans and Robots in a Complex Building

Autor:	Christoph Hölscher, Vincent Langenfeld, Rul von Stülpnagel
Rok vydání:	2018
Předmět:	Operationalization Orientation (computer vision) Isovist Computer science business.industry Self localization Robot Computer vision Artificial intelligence business
Zdroj:	Lecture Notes in Computer Science ISBN: 9783319963846 Spatial Cognition
DOI:	10.1007/978-3-319-96385-3_11
Popis:	We investigated robot and human self-localization abilities in a simulated building with and without landmarks, optimized for humans and robots, respectively. Robot self-localization accuracy was determined by the uniqueness of the current location’s spatial properties, as operationalized by simulated laser scans and quantified in isovist analyses. Humans exposed to a virtual simulation relied on qualitative configurational information to localize themselves rather than isovist properties reflecting the local vistas. Landmarks enhanced the self-localization accuracy of both robots and humans, and especially when optimized to the respective needs. Our research highlights challenges for scenarios that encompass robot-human cooperation in regard to spatial orientation and navigation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b581758b2caef1f916cf75c4ab5d50a8 https://doi.org/10.1007/978-3-319-96385-3_11 Zobrazit plný text záznamu