March 28, 2024, 4:45 a.m. | Lawrence O'Gorman

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.18096v1 Announce Type: cross
Abstract: Although mobile robots have on-board sensors to perform navigation, their efficiency in completing paths can be enhanced by planning to avoid human interaction. Infrastructure cameras can capture human activity continuously for the purpose of compiling activity analytics to choose efficient times and routes. We describe a cascade temporal filtering method to efficiently extract short- and long-term activity in two time dimensions, isochronal and chronological, for use in global path planning and local navigation respectively. The …

abstract analytics arxiv board cameras compiling cs.cv cs.ro efficiency filter human infrastructure mobile navigation planning robot robots routes sensors temporal type video

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