Indoor navigation: state of the art and future trends
Навигация внутри помещений: современное состояние и перспективные направления
2021-05-03
SCID: 54.1/fcttmfw8
Discuss with AI
Edge/fog computingGlobal Navigation Satellite System (GNSS)Indoor positioning, localization, and navigationInertial Navigation System (INS)Multi-sensor information fusion
Figures from the paper
Abstract (AI)
Abstract This paper reviews the state of the art and future trends of indoor Positioning, Localization, and Navigation (PLAN). It covers the requirements, the main players, sensors, and techniques for indoor PLAN. Other than the navigation sensors such as Inertial Navigation System (INS) and Global Navigation Satellite System (GNSS), the environmental-perception sensors such as High-Definition map (HD map), Light Detection and Ranging (LiDAR), camera, the fifth generation of mobile network communication technology (5G), and Internet-of-Things (IoT) signals are becoming important aiding sensors for PLAN. The PLAN systems are expected to be more intelligent and robust under the emergence of more advanced sensors, multi-platform/multi-device/multi-sensor information fusion, self-learning systems, and the integration with artificial intelligence, 5G, IoT, and edge/fog computing.
Key Findings
1
Future indoor PLAN systems are expected to improve intelligence and robustness through multi-platform, multi-device, and multi-sensor information fusion.
2
Indoor PLAN increasingly supplements INS and GNSS with environmental-perception sensors, including HD maps, LiDAR, cameras, 5G, and IoT signals.
3
Self-learning, artificial intelligence, 5G, IoT, and edge/fog computing are identified as major future directions for indoor PLAN development.
4
The paper reviews requirements, major stakeholders, sensors, and techniques defining the state of the art in indoor positioning, localization, and navigation.
Research Object
Indoor Positioning, Localization, and Navigation (PLAN) systems
Research Subject
State-of-the-art capabilities, requirements, sensor and technique integration, and future trends toward more intelligent and robust PLAN systems
Publication Details
Publication Date
2021-05-03
Journal
Publisher
ISSN
Cited by
272
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest