TY - JOUR
T1 - Barometer assisted smartphone localization for vehicle navigation in multilayer road networks
AU - Wang, Jingxian
AU - Chen, Wu
AU - Weng, Duojie
AU - Ding, Weihao
AU - Li, Yaxin
N1 - Funding Information:
This research was supported by the University Grants Committee of Hong Kong under the scheme of Research Impact Fund (R5009-21); the Smart Cities Research Institute, The Hong Kong Polytechnic University; and the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, MNR (KF-2021-06-125).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/4
Y1 - 2023/4
N2 - Multilayer transport structures, such as elevated roads and tunnels, are increasingly used to solve the growing traffic congestion problems in dense urban areas. It presents a challenge for navigation systems to determine which layer the vehicle is running on when elevated roads or tunnels are parallel to and close to surface roads. In this paper, we propose a smartphone-based positioning method to provide accurate position and road layer for vehicle navigation in multilayer road networks. Systemic errors of barometers are calibrated with GNSS measurements, local Digital Surface Model (DSM), and Mean Sea Level pressure. Then, barometer output absolute altitudes are integrated with GNSS and IMU to achieve 3D vehicle positioning. Using absolute altitudes, DSM, and GNSS information, the road layer can be identified without initial layer information in multilayer road networks. Experiment results demonstrate that the proposed method can provide accurate location and road layer in multilayer road networks.
AB - Multilayer transport structures, such as elevated roads and tunnels, are increasingly used to solve the growing traffic congestion problems in dense urban areas. It presents a challenge for navigation systems to determine which layer the vehicle is running on when elevated roads or tunnels are parallel to and close to surface roads. In this paper, we propose a smartphone-based positioning method to provide accurate position and road layer for vehicle navigation in multilayer road networks. Systemic errors of barometers are calibrated with GNSS measurements, local Digital Surface Model (DSM), and Mean Sea Level pressure. Then, barometer output absolute altitudes are integrated with GNSS and IMU to achieve 3D vehicle positioning. Using absolute altitudes, DSM, and GNSS information, the road layer can be identified without initial layer information in multilayer road networks. Experiment results demonstrate that the proposed method can provide accurate location and road layer in multilayer road networks.
KW - Multilayer road network
KW - Pressure
KW - Smartphone
KW - Vehicle navigation
UR - http://www.scopus.com/inward/record.url?scp=85149868550&partnerID=8YFLogxK
U2 - 10.1016/j.measurement.2023.112661
DO - 10.1016/j.measurement.2023.112661
M3 - Journal article
AN - SCOPUS:85149868550
SN - 0263-2241
VL - 211
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
M1 - 112661
ER -