ReviewSatellite navigation2021
GNSS smartphones positioning: advances, challenges, opportunities, and future perspectives.
Review in Satellite navigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
33 citing papers in PubMed.
- Random-Forest-Based Smartphone GNSS Position Correction Using Satellite-Wise LOS Projection Error Estimation and Exponential Temporal WLS.Sensors (Basel, Switzerland) · 2026Article
- Smartphone-Based Technologies in Equine Sports Medicine: Supporting Athlete Management-A Review.Sensors (Basel, Switzerland) · 2026Review
- Improving Smartphone GNSS Positioning Accuracy Using Contextual Information.Sensors (Basel, Switzerland) · 2026Article
- Deep Learning-Driven Adaptive-Weight Kalman Filtering for Low-Cost GNSS in Challenging Environments.Sensors (Basel, Switzerland) · 2026Article
- Evaluation of the Ionospheric Corrections Generated by Smartphones with Different Real-Time Products.Sensors (Basel, Switzerland) · 2026Article
- Multipath Identification and Mitigation for Enhanced GNSS Positioning in Urban Environments.Sensors (Basel, Switzerland) · 2025Article
- Pixel 5 Versus Pixel 9 Pro XL-Are Android Devices Evolving Towards Better GNSS Performance?Sensors (Basel, Switzerland) · 2025Article
- A Testing and Evaluation Framework for Indoor Navigation and Positioning Systems.Sensors (Basel, Switzerland) · 2025Article
- Comparing and integrating human mobility data sources for measles transmission modeling in Zambia.PLOS global public health · 2025Article
- A singular, broadly-applicable model for estimating on- and off-path walking travel rates using airborne lidar data.Scientific reports · 2024Article
- Decimeter-Level Accuracy for Smartphone Real-Time Kinematic Positioning Implementing a Robust Kalman Filter Approach and Inertial Navigation System Infusion in Complex Urban Environments.Sensors (Basel, Switzerland) · 2024Article
- Continuous High-Precision Positioning in Smartphones by FGO-Based Fusion of GNSS-PPK and PDR.Micromachines · 2024Article
- Navigating latency hurdles: an in-depth examination of a cloud-powered GNSS real-time positioning application on mobile devices.Scientific reports · 2024Article
- An Enhanced FGI-GSRx Software-Defined Receiver for the Execution of Long Datasets.Sensors (Basel, Switzerland) · 2024Article
- Seamless Fusion: Multi-Modal Localization for First Responders in Challenging Environments.Sensors (Basel, Switzerland) · 2024Article
- Assessing the Effect of Data Quality on Distance Estimation in Smartphone-Based Outdoor 6MWT.Sensors (Basel, Switzerland) · 2024Article
- Global Navigation Satellite System Receiver Positioning in Harsh Environments via Clock Bias Prediction by Empirical Mode Decomposition and Back Propagation Neural Network Method.Sensors (Basel, Switzerland) · 2024Article
- Raw GNSS data collected using smartphones and low-cost receiver under optimal and sub-optimal conditions.Data in brief · 2024Article
- An Innovative Low-Power, Low-Cost, Multi-Constellation Geodetic-Grade Global Navigation Satellite System Reference Station for the Densification of Permanent Networks: The GREAT Project.Sensors (Basel, Switzerland) · 2023Article
- An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Starting from 2016, the raw Global Navigation Satellite System (GNSS) measurements can be extracted from the Android Nougat (or later) operating systems. Since then, GNSS smartphone positioning has been given much attention. A high number of related publications indicates the importance of the research in this field, as it has been doing in recent years. Due to the cost-effectiveness of the GNSS smartphones, they can be employed in a wide variety of applications such as cadastral surveys, mapping surveying applications, vehicle and pedestrian navigation and etc. However, there are still some challenges regarding the noisy smartphone GNSS observations, the environment effect and smartphone holding modes and the algorithm development part which restrict the users to achieve high-precision smartphone positioning. In this review paper, we overview the research works carried out in this field with a focus on the following aspects: first, to provide a review of fundamental work on raw smartphone observations and quality assessment of GNSS observations from major smart devices including Google Pixel 4, Google Pixel 5, Xiaomi Mi 8 and Samsung Ultra S20 in terms of their signal strengths and carrier-phase continuities, second, to describe the current state of smartphone positioning research field until most recently in 2021 and, last, to summarize major challenges and opportunities in this filed. Finally, the paper is concluded with some remarks as well as future research perspectives.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.