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Title: Intelligent viaduct recognition and driving altitude determination using GPS data
Authors: Hsu, LT 
Gu, YL
Kamijo, S
Keywords: Autonomous driving
Land application
Urban canyon
Issue Date: Sep-2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on intelligent vehicles, Sept. 2017, v. 2, no. 3, p. 175-184 How to cite?
Journal: IEEE transactions on intelligent vehicles 
Abstract: The rapid development of road networks in highly urbanized cities requires a substantial number of viaducts to reduce the increasing traffic burden on urban highways. Unfortunately, this road design deteriorates the performance of global positioning system (GPS) navigators due to the signal blockage between satellite and receiver. As a result, it is difficult for GPS navigators to determine whether the vehicle is driving on the street or viaduct. Misleading information could confuse drivers and lead them to drive irregularly, which is dangerous in heavy traffic. This paper proposes a novel classification algorithm based on the fact that different satellite signals and conditions can be observed in the on-street and on-viaduct cases by the implementation of dynamic Bayesian network (DBN) to distinguish the driving area of a vehicle. In addition, the proposed DBN can also accurately estimate the driving altitude of the vehicle according to the experiment results.
ISSN: 2379-8858
EISSN: 2379-8904
DOI: 10.1109/TIV.2017.2737325
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication Hsu, L. T., Gu, Y., & Kamijo, S. (2017). Intelligent Viaduct Recognition and Driving Altitude Determination Using GPS Data. IEEE Transactions on Intelligent Vehicles, 2(3), 175-184 is available at
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