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El‑Sheimy and Li  Satell Navig             (2021) 2:7               Satellite Navigation
            https://doi.org/10.1186/s43020‑021‑00041‑3
                                                                              https://satellite‑navigation.springeropen.com/



             REVIEW                                                                           Open Access

            Indoor navigation: state of the art and future


            trends


                                    *
            Naser El‑Sheimy and You Li



              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‑Defnition map (HD map), Light Detection and Ranging (LiDAR), camera, the ffth
              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 emer‑
              gence of more advanced sensors, multi‑platform/multi‑device/multi‑sensor information fusion, self‑learning systems,
              and the integration with artifcial intelligence, 5G, IoT, and edge/fog computing.
              Keywords:  Navigation, Indoor positioning, Information fusion, Wireless localization, Dead reckoning, Database
              matching


            Introduction                                      emerging vehicle applications (e.g., autonomous driving
            Te Positioning, Localization, and Navigation (PLAN)   and connected vehicles) need indoor-PLAN capability.
            technology has been widely studied and successfully   Compared with traditional vehicles, unmanned vehicles
            commercialized in many applications such as mobile   face  three  important  problems:  PLAN,  environmen-
            phones and unmanned systems. In particular, indoor   tal perception, and decision-making. A vehicle needs to
            PLAN technology is becoming increasingly important   PLAN  itself  into the  surrounding  environment before
            with the emergence of new chip-level Micro-Electrome-  making decisions. Terefore, only by solving the indoor
            chanical System (MEMS) sensors, positioning big data,   PLAN can fully autonomous driving and location ser-
            and Artifcial Intelligence (AI) technology, as well as the   vices be achieved.
            increase of public interest and social potential.   Social benefts Accurate PLAN can serve safety and
                                                              medical applications and beneft special groups such as
            The market value of indoor navigation: social benefts   the elderly, children, and the disabled. Meanwhile, PLAN
            and economic value                                technology can bring a series of location services, such
            Te global indoor PLAN market is expected to reach $   as  Mobility  as  a  Service  (MaaS),  which  increases  travel
            28.2 billion by 2024, growing at a Compound Annual   convenience and security, and reduces carbon emission
            Growth Rate (CAGR) of 38.2% (Goldstein 2019). Indoor   (through changing owned vehicles to shared ones). Also,
            PLAN has attracted the attention of not only consumer   reliable PLAN technology can reduce road accidences,
            giants such as Apple and Google but also self-driving   94% of which are caused by human errors (Singh 2015).
            players such as Tesla and Nvidia. Tis is because the   Economic values As a demander of indoor PLAN,
                                                              autonomous driving  technology is expected  to reduce
                                                              the ratio of owned to shared vehicles to 1:1 by 2030
            *Correspondence:  li29@ucalgary.ca                (Schönenberger 2019). By 2050, autonomous cars will be
            Department of Geomatics Engineering, University of Calgary, 2500   expected to bring savings of 800 billion dollars annually
            University Drive N.W, Calgary, AB T2N 1N4, Canada


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