Abstract
This paper presents the design and implementation of a compressed infrared bearing sensor for human localization. The developed bearing sensor consists of multiple planar co-located pyroelectric infrared (PIR) detectors with the same planar sensing coverage. The observed space of the bearing sensor is defined by partitioning the sensing area into discrete fan-shaped sampling cells. The spatial mapping from the observed space to the measurement space is built by applying the visibility masks to the Fresnel lens arrays associated with the PIR detectors. We explore the use of a compressive sensing paradigm in designing visibility masks with desirable sensing efficiency. The proposed bearing sensor is experimentally validated in the context of the cross-bearing localization of a human target with a mobile robot.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.