TY - JOUR
T1 - Toward Persistent Spatial Awareness
T2 - A Review of Pedestrian Dead Reckoning-Centric Indoor Positioning With Smartphones
AU - Bai, Shiyu
AU - Wen, Weisong
AU - Li, You
AU - Shi, Chuang
AU - Hsu, Li Ta
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Navigating to a destination using smartphones has recently become a primary way in people’s daily lives. Positioning is the prerequisite condition before efficient path planning can be achieved. In urban environments, people can self-localize with the aid of the global navigation satellite system (GNSS). However, last-mile navigation is still a challenge for pedestrians as current indoor positioning techniques cannot provide an accurate position. For the past few years, many researchers in academia and industry have thrown themselves into smartphone-based indoor positioning. Various solutions have been proposed to enable accurate and reliable position solutions. Pedestrian dead reckoning (PDR) is a popular positioning method as it is self-contained and outperforms inertial navigation. Also, other information from sensor data features and infrastructures, such as radio frequency (RF), can ensure the positioning service. At present, there are various indoor positioning reviews available to summarize current techniques. However, they focus primarily on separate positioning methods rather than integration. This article aims to comprehensively review PDR-centric indoor positioning using smartphones. It covers the basic concept of PDR and its integration with other information, examining both infrastructure-free and infrastructure-dependent approaches. Furthermore, this article outlines key considerations for conducting a comprehensive comparative analysis of the algorithm. Finally, the challenges and future research trends are given. This article can help readers understand the features of different PDR-centric integrations. It also contributes to the design of more robust solutions to satisfy the ever-increasing demand for indoor positioning.
AB - Navigating to a destination using smartphones has recently become a primary way in people’s daily lives. Positioning is the prerequisite condition before efficient path planning can be achieved. In urban environments, people can self-localize with the aid of the global navigation satellite system (GNSS). However, last-mile navigation is still a challenge for pedestrians as current indoor positioning techniques cannot provide an accurate position. For the past few years, many researchers in academia and industry have thrown themselves into smartphone-based indoor positioning. Various solutions have been proposed to enable accurate and reliable position solutions. Pedestrian dead reckoning (PDR) is a popular positioning method as it is self-contained and outperforms inertial navigation. Also, other information from sensor data features and infrastructures, such as radio frequency (RF), can ensure the positioning service. At present, there are various indoor positioning reviews available to summarize current techniques. However, they focus primarily on separate positioning methods rather than integration. This article aims to comprehensively review PDR-centric indoor positioning using smartphones. It covers the basic concept of PDR and its integration with other information, examining both infrastructure-free and infrastructure-dependent approaches. Furthermore, this article outlines key considerations for conducting a comprehensive comparative analysis of the algorithm. Finally, the challenges and future research trends are given. This article can help readers understand the features of different PDR-centric integrations. It also contributes to the design of more robust solutions to satisfy the ever-increasing demand for indoor positioning.
KW - Indoor positioning
KW - infrastructure-dependent
KW - infrastructure-free
KW - pedestrian dead reckoning (PDR)
KW - smartphones
UR - https://www.scopus.com/pages/publications/85207729224
U2 - 10.1109/TIM.2024.3470043
DO - 10.1109/TIM.2024.3470043
M3 - 文献综述
AN - SCOPUS:85207729224
SN - 0018-9456
VL - 73
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 8507828
ER -