歩行者の慣性航法：モデルベースとデータ駆動型アプローチの概観
Pedestrian Inertial Navigation: An Overview of Model and Data-Driven Approaches
歩行者の慣性航法について、靴装着型センサーやPDRのモデルベース手法と、活動支援・ハイブリッド・学習ベースのデータ駆動型手法を概説したサーベイ論文。
著者: Itzik Klein
分類: cs.RO, eess.SP
原文アブストラクト
The task of indoor positioning is fundamental to several applications, including navigation, healthcare, location-based services, and security. An emerging field is inertial navigation for pedestrians, which relies only on inertial sensors for positioning. In this paper, we present inertial pedestrian navigation models and learning approaches. Among these, are methods and algorithms for shoe-mounted inertial sensors and pedestrian dead reckoning (PDR) with unconstrained inertial sensors. We also address three categories of data-driven PDR strategies: activity-assisted, hybrid approaches, and learning-based frameworks.
