title: Biologically Motivated Novel Localization Paradigm by High-Level Multiple Object Recognition in Panoramic Images.
abstract: This paper presents the novel paradigm of a global localization method motivated by human visual systems (HVSs). HVSs actively use the information of the object recognition results for self-position localization and for viewing direction. The proposed localization paradigm consisted of three parts: panoramic image acquisition, multiple object recognition, and grid-based localization. Multiple object recognition information from panoramic images is utilized in the localization part. High-level object information was useful not only for global localization, but also for robot-object interactions. The metric global localization (position, viewing direction) was conducted based on the bearing information of recognized objects from just one panoramic image. The feasibility of the novel localization paradigm was validated experimentally.
authors.affiliation: Advanced Visual Intelligence Laboratory, Yeungnam University, 280 Daehak-ro, Gyeongsan, Gyeongbuk 712-749, Republic of Korea.
authors.forename: Sungho
authors.initials: S
authors.lastname: Kim
authors.affiliation: Advanced Visual Intelligence Laboratory, Yeungnam University, 280 Daehak-ro, Gyeongsan, Gyeongbuk 712-749, Republic of Korea.
authors.forename: Min-Sheob
authors.initials: MS
authors.lastname: Shim
mesh_terms: D000465:Algorithms; D006801:Humans; D021621:Imaging, Three-Dimensional; D007858:Learning; D009042:Motivation; D010364:Pattern Recognition, Visual; D014795:Visual Pathways / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*