Journal Home Online First Current Issue Archive For Authors Journal Information 中文版

Strategic Study of CAE >> 2019, Volume 21, Issue 3 doi: 10.15302/J-SSCAE-2019.03.004

Thoughts and Suggestions on Autonomous Driving Map Policy

1. Global Navigation Satellite Systems Research Center, Wuhan University, Wuhan 430079, China;

2. China Association of Automobile Manufactures, Beijing 100055, China

Funding project:中国工程院咨询项目“‘互联网+ 智能交通’发展战略研究”(2018-ZD-02-07);武汉市应用基础研究计划(2017010201010112) Received: 2019-05-06 Revised: 2019-05-14

Next Previous

Abstract

As a key infrastructure to realize autonomous driving, autonomous driving map is crucial to the commercial development of the autonomous driving field in China. Currently, constrained by laws and regulations related to ground mapping, map application, and supervision, the commercialization of autonomous driving maps in China is lagging behind. This paper focuses on the main policy and regulatory issues faced in the development, application, and management of autonomous driving maps in China, i.e., encryption of autonomous driving maps, limitations on geographic information expression, qualifications for geographic information collection and the process for map review, accident liability and insurance issues, as well as autonomous driving map related test specifications and test scenario issues. Meanwhile, combining the development trends of domestic and international autonomous driving fields, this paper proposes four suggestions for accelerating the development and commercialization of autonomous driving vehicles in China: formulating an autonomous driving map management mode, allowing pilot application and orderly opening of autonomous driving maps, appropriately opening up corporate authorization and optimizing the review process, as well as establishing a national-level autonomous driving map platform.

References

[ 1 ] Li K Q, Dai Y F, Li S B, et al. State-of-the-art and technical trends of intelligent and connected vehicles [J]. Journal of Automotive Safety and Energy, 2017, 8(1): 1–14. Chinese.

[ 2 ] Guo C, Guo W F, Cao G Y, et al. A lane-level LBS system for vehicle network with high-precision BDS/GPS positioning [J]. Computational Intelligence and Neuroscience, 2015: 1–13.

[ 3 ] Liu J N, Wu H B, Guo C, et al. Progress and consideration of high precision road navigation map [J]. Strategic Study of CAE, 2018, 20(2): 99–105. Chinese.

[ 4 ] Editorial Department of China Journal of Highway and Transport. Review on China’s automotive engineering research progress: 2017 [J]. China Journal of Highway and Transport, 2017, 30(6): 1–197. Chinese.

[ 5 ] State Administration for Market Regulation, Standardization Administration of the PRC. GB 20263—2006, Navigable electronic map—Basic requirements of security processing technology [S]. 2006. Chinese.

[ 6 ] Bauer S, Alkhorshid Y, Wanielik G. Using high-definition maps for precise urban vehicle localization [C]. Proceedings of the 2016 IEEE International Conference on Intelligent Transportation Systems. Rio de Janeiro, Brazil: IEEE, 2016.

[ 7 ] Seif H G, Hu X L. Autonomous driving in the iCity—HD maps as a key challenge of the automotive industry [J]. Engineering, 2016, 2(2): 159–162.

[ 8 ] Zang A, Li Z, Doria D, et al. Accurate vehicle self-localization in high definition map dataset [C]. Proceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles. Redondo Beach, California: ACM, 2017.

[ 9 ] State Administration for Market Regulation, Standardization Administration of the PRC. GB/T 34590.2—2017, Road vehicles—Functional safety—Part 2: Management of functional safety [S]. 2017. Chinese.

[10] Yueh-Hsuan W, Hillenbr D. The intelligentization of automobiles Smart-Cars, RoboCars and their safety governance [J]. Journal of Science, Technology and Law, 2014 (4): 5.

[11] Jiang S. The challenges of self-driving cars to the law [J]. China Law Review, 2018 (2): 180–189. Chinese. link1

[12] Händel P, Ohlsson J, Ohlsson M, et al. Smartphone-based measurement systems for road vehicle traffic monitoring and usage-based insurance [J]. IEEE Systems Journal, 2014, 8(4): 1238–1248. link1

[13] Cao J F, Zhang Y H. Review on UK AEV Act: Innovation in insurance and liability rules for autonomous vehicles [J]. Information Security and Communications Privacy, 2018 (10): 66–73. Chinese. link1

[14] Feng J Y. Artificial intelligence technology and change of liability law: Autopilot as an object of investigation [J]. Journal of Comparative Law, 2018 (2): 143–155. Chinese. link1

[15] Greenblatt N A. Self-driving cars and the law [J]. IEEE Spectrum, 2016, 53(2): 46–51.

Related Research