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Research on Application and Testing of Autonomous Driving in Ports
Technical Paper
2020-01-5179
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The inherent attributes of production tools for commercial vehicle determine that have more needs and applicability for autonomous driving technology. The port is one of the three core scenarios for application of autonomous driving of commercial vehicle. Port transportation is regarded as an important aspect of commercial vehicle autonomous driving applications by governments, enterprises and port managers [1]. Currently port autonomous driving applications have a good policy environment and market environment. First of all, this paper introduces the main types and distribution patterns of port autonomous driving applications by analysis its current status both at home and abroad. Secondly, through the characteristic analysis of each application mode, IGV mode is determined to be the first choice for smart port reconstruction due to its advantages of time-consuming and low-cost based on the comparison of the current application modes. Further, the key technology, system architecture and working principle of IGV mode is introduced. Based on the working principle of the IGV model, the operating conditions and the tasks in the port, sixteen basic test scenarios including autonomous parking, traffic environment recognition and human-computer interaction are obtained. Finally, the actual operation of IGV mode in Tianjin port is introduced. Port autonomous driving technology may effectively improve port plane transportation in terms of energy, economy and security in actual operation and the IGV mode transformation based on electric trucks can achieve greater benefits. These are of great significance to the selection of smart port transformation plans, the formulation of port autonomous driving test standards, and the development of future routes for port autonomous driving.
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Authors
- Kongjian Qin - China Automotive Technology Research Center Co., Ltd, China
- Bongtong Wang - CATARC: China Automotive Technology and Research Center, Chi
- Hui Zhang - China Automotive Technology Research Center Co., Ltd, China
- Wenbo Ma - China Automotive Technology Research Center Co., Ltd, China
- Menghua Yan - Chang’an University, China
- Xinming Wang - China Automotive Technology Research Center Co., Ltd, China
Citation
Qin, K., Wang, B., Zhang, H., Ma, W. et al., "Research on Application and Testing of Autonomous Driving in Ports," SAE Technical Paper 2020-01-5179, 2020, https://doi.org/10.4271/2020-01-5179.Data Sets - Support Documents
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References
- Xie , H. , Zhu , H. , and Yang , W. The Technology and Standard Requirement Research of Autonomous Driving Logistics Vehicles Chinese Vehicle 03 57 62 2020
- 2018 Container Shipping Market Review and 2019 Outlook Containerization 30 01 23 30 2019
- Ga , H. , Shao , W. , Li , T. , and Xie , Q. Technological Structure of Intelligent Port Port Science &Technology 02 1 5+52 2017
- Yan , X. , and Liu , C. Review and Prospect for Intelligent Waterway Trans CAAI Transactions on Intelligent Systems 11 06 807 817 2016
- Xiao , F. Operation of Unmanned Electric Port Tractor in Tianjin Port (L4) Special Purpose Vehicles and Parts 03 12 14 2018
- He , J.H. , and Zhang , R. Entry Standard for Unmanned Vehicles in Container Terminals Port Technology 06 1 4 2019
- Wang , J. , Xv , G. , and Chen , J. Introduction to Unmanned Driving Technology Beijing Tsinghua University Press 2019 100
- Wang , L. Analysis on Key Technologies of Automatic Driving Bus Automobile Applied Technology 12 12 14 2020
- Shi , J. , Qu , F. , and Guo , K. Analysis and Prospect on Intelligent Connected Vehicle Legal System Auto Engneer 10 11 13 2017
- Wan , Y. 2019
- Wang , P. , and Sun , Y. Application of Self-Driving Technology in Ports Port Science &Technology 05 1 4+19 2020
- Su , L. , Zhang , D. , Wang , C. , and Zhang , T. Research and Development of Unmanned Electric Container Trailer Artificial Intelligence 06 94 110 2018