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Title: View Birdification: On-Ground Pedestrian Movement Estimation and Prediction from Ego-centric In-Crowd Views
Other Titles: 混雑環境下における自己位置及び周辺歩行者の軌跡復元・予測
Authors: Nishimura, Mai
Author's alias: 西村, 真衣
Keywords: Localization
Crowd Modeling
World Model
Issue Date: 23-Mar-2023
Publisher: Kyoto University
Conferring University: 京都大学
Degree Level: 新制・課程博士
Degree Discipline: 博士(情報学)
Degree Report no.: 甲第24726号
Degree no.: 情博第814号
Conferral date: 2023-03-23
Degree Call no.: 新制||情||137(附属図書館)
Degree Affiliation: 京都大学大学院情報学研究科知能情報学専攻
Examination Committee members: (主査)教授 西野 恒, 教授 河原 達也, 教授 神田 崇行, 准教授 延原 章平
Provisions of the Ruling of Degree: 学位規則第4条第1項該当
Rights: © 2023 IEEE. Reprinted, with permission, from Mai Nishimura et al. ViewBirdiformer: Learning to Recover Ground-Plane Crowd Trajectories and Ego-Motion From a Single Ego-Centric View, IEEE Robotics and Automation Letters, January 2023. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to to learn how to obtain a License from RightsLink.
DOI: 10.14989/doctor.k24726
Appears in Collections:140 Doctoral Dissertation (Informatics)

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