Abstract
The High-Definition map (HD map) is an indispensable part of autonomous driving vehicle positioning and navigation. Because of its high accuracy, the general high-precision map has a very large data volume, and the existing network cannot meet the requirements of high-speed transmission. It will result in significant time delay and greatly threaten driving safety. Therefore, we propose a progressive cloud point data transmission model for HD map applications. It consists of three-level modeling of data compression, transmission time, and delivered data restoration. It can also adjust the data transmission accuracy to get a better transmission time delay according to different application demands. Experiments show that with map data being progressively delivered, autonomous driving can get a more fluent HD map service even though when the network is unstable.
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Acknowledgements
This work is supported by Guangdong Natural Science Foundation under Grant No. 2021A1515011755. Rui Huang is the corresponding author of this paper.
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Tang, J., Jiang, K., Huang, R. (2022). A Progressive Transmission Method of Cloud Point Data for HD Map in Autonomous Driving. In: Liu, S., Wei, X. (eds) Network and Parallel Computing. NPC 2022. Lecture Notes in Computer Science, vol 13615. Springer, Cham. https://doi.org/10.1007/978-3-031-21395-3_24
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DOI: https://doi.org/10.1007/978-3-031-21395-3_24
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