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http://hdl.handle.net/10397/89207
| Title: | Efficient 3D road map data exchange for intelligent vehicles in vehicular fog networks | Authors: | Ho, IWH Chau, SCK Magsino, ER Jia, K |
Issue Date: | Mar-2020 | Source: | IEEE transactions on vehicular technology, Mar 2020, v. 69, no. 3, 8946549, p. 3151-3165 | Abstract: | Through connecting intelligent vehicles as well as the roadside infrastructure, the perception range of vehicles can be significantly extended, and hidden objects at blind spots can be efficiently detected and avoided. To realize this, accurate road map data must be downloaded in real time to these intelligent vehicles for navigation and localization purposes. Besides, the cloud must be updated with dynamic changes that happened in the road network. These involve the transmissions of high-definition 3D road map data for accurately representing the physical environments. In this work, we propose solutions under the fog computing architecture in a heterogeneous vehicular network to optimize data exchange among intelligent vehicles, the roadside infrastructure, as well as regional databases. Specifically, the efficiency of 3D road map data dissemination at roadside fog nodes is achieved by exploiting index coding techniques to reduce the overall data load, while opportunistic scheduling of heterogeneous transmissions can be done to judiciously manage network resources and minimize operating cost. In addition, 3D point cloud coding and hashing techniques are applied to expedite the updates of various dynamic changes in the network. We empirically evaluate the proposed solutions based on real-world mobility traces of vehicles and 3D LIght Detection And Ranging (LIDAR) data of city streets. The proposed system is also implemented in a multi-robotic testbed for practical evaluation. | Keywords: | Fog computing Index coding Intelligent connected vehicles Opportunistic scheduling Vehicular networks |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on vehicular technology | ISSN: | 0018-9545 | EISSN: | 1939-9359 | DOI: | 10.1109/TVT.2019.2963346 | Rights: | © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information. The following publication Ho, I. W. H., Chau, S. C. K., Magsino, E. R., & Jia, K. (2019). Efficient 3D road map data exchange for intelligent vehicles in vehicular fog networks. IEEE Transactions on Vehicular Technology, 69(3), 3151-3165, is available at https://dx.doi.org/10.1109/TVT.2019.2963346. |
| Appears in Collections: | Journal/Magazine Article |
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| a0578-n02_FinalPaper.pdf | Pre-Published version | 5.34 MB | Adobe PDF | View/Open |
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