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A Review of the Technical Content of Autonomous Vehicle

Received: 26 June 2018     Accepted: 27 July 2018     Published: 28 August 2018
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Abstract

In order to analyze the system composition of the development status of autonomous technology and the problems and prospects of autonomous vehicles, this paper analyzes the development of unmanned driving technology at home and abroad in recent years through field research and literature review, and finds Internet technology. Rapid development has brought new changes to the automotive industry, and the increasingly serious traffic safety problem has accelerated the development of autonomous technology. Through investigation, it is found that autonomous cars are developing rapidly. The development of autonomous cars has greatly improved the efficiency and safety of transportation systems. For the entire automobile development industry, autonomous cars will undoubtedly become the first direction of automobile development. In this paper, the composition of unmanned vehicles is described by explaining the development status of unmanned vehicles at home and abroad. This paper also briefly analyzes the key technologies of autonomous vehicles: environment-aware technology, navigation and positioning technology, path planning technology, decision-making control technology, and further compares the current problems and development prospects of autonomous technology, and through the investigation of materials The study further prospects the development direction of unmanned vehicles. In the end, it was found that despite the series of problems, unmanned driving is in line with the trend of intelligent and Internet-oriented vehicles, which is a major opportunity for the automotive industry to change under the Internet wave.

Published in International Journal of Systems Engineering (Volume 2, Issue 2)
DOI 10.11648/j.ijse.20180202.11
Page(s) 42-46
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Unmanned, Key Technology, Development Question, Development Prospect

References
[1] Chen Huiyan, Guangming, Jianwei, Yan. Introduction to autonomous vehicle [M]. Beijing Institute of Technology press 2014.
[2] Mccall, J. C.; Trivedi, M. M. Video-based lane estimation and tracking ford river assistance: survey, system, and evaluation. IEEE Trans. Intelligent. Trans. Syst. 2006, 7, 20-37.2.
[3] Hsiao, P.-Y.; Yeh, C.-W.; Huang, S.-S.; Fu, L.-C. Aport able vision-based real-time lane departure warning system: day and night. IEEE Trans. Vehicle. Technol. 2009, 58, 2089–2094.3
[4] Clanton, J. M.; Bevly, D. M.; Hodel, S. Alow-cost solution for an integrated multisensor laned eparture warning system. IEEE Trans. Intell. Transp. Syst. 2009, 10, 4759.
[5] Qiao Weigao, learning. Development status and direction of autonomous cars [J]. Shanghai motor 2007 (7): 40-43.
[6] Schubert, R.; Schulze, K.; Wanielik, G. Situation assessment for automatic lane-change maneuvers. IEEE Trans. Intell. Transport. Syst. 2010, 11, 607-616.
[7] Angkititrakul, P.; Terashima, R.; Wakita, T. On the use of stochastic driver behavior model in lane departure warning. IEEE Trans. Intell. Transp. Syst. 2011, 12, 174-183.
[8] McCall, J. C.; Trivedi, M. M. Visual context capture and analysis for driver attention monitoring. In Proceedings of the IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA, 3-6 October 2004, pp. 332-337.
[9] Kreucher, C.; Lakshmanan, S.; Kluge, K. A driver warning system based on the LOIS lane detection algorithm. In Proceedings of the IEEE Conference on Intelligent Vehicles, Stuttgart, Germany, 28-30 October 1998, pp. 17-22.
[10] Taylor, C.; Kosecka, J.; Blasi, R.; Malik, J. A comparative study of vision-based lateral control strategies for autonomous highway drivibg. Int. J. Robot. Res. 1999, 18, 442-453.
[11] Aufrere, R.; Chapuis, R.; Chausse, F. A Model-driven approach for real-time road recognition. Mach. Vis. Appl. 2001, 13, 95-107.
[12] Wang Pei. Research on navigation system of unmanned intelligent vehicle [D]. Xi'an: Xi'an Technological University, 12.
[13] Zhao Yang. Key technology of autonomous vehicle [J]. China Science and Technology Expo 2011 (26): 272-272.
[14] Zhao pan. Research on motion control method of autonomous vehicle in urban environment [D]. Hefei: University of Science & Technology China, 2012.
[15] Jia Zhuguang, Xiao Yu, bin, et al. Research and Prospect of autonomous technology [J]. mining equipment 2014 (5): 44-48.
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  • APA Style

    Wensheng Sun, Shufeng Wang. (2018). A Review of the Technical Content of Autonomous Vehicle. International Journal of Systems Engineering, 2(2), 42-46. https://doi.org/10.11648/j.ijse.20180202.11

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    ACS Style

    Wensheng Sun; Shufeng Wang. A Review of the Technical Content of Autonomous Vehicle. Int. J. Syst. Eng. 2018, 2(2), 42-46. doi: 10.11648/j.ijse.20180202.11

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    AMA Style

    Wensheng Sun, Shufeng Wang. A Review of the Technical Content of Autonomous Vehicle. Int J Syst Eng. 2018;2(2):42-46. doi: 10.11648/j.ijse.20180202.11

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  • @article{10.11648/j.ijse.20180202.11,
      author = {Wensheng Sun and Shufeng Wang},
      title = {A Review of the Technical Content of Autonomous Vehicle},
      journal = {International Journal of Systems Engineering},
      volume = {2},
      number = {2},
      pages = {42-46},
      doi = {10.11648/j.ijse.20180202.11},
      url = {https://doi.org/10.11648/j.ijse.20180202.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijse.20180202.11},
      abstract = {In order to analyze the system composition of the development status of autonomous technology and the problems and prospects of autonomous vehicles, this paper analyzes the development of unmanned driving technology at home and abroad in recent years through field research and literature review, and finds Internet technology. Rapid development has brought new changes to the automotive industry, and the increasingly serious traffic safety problem has accelerated the development of autonomous technology. Through investigation, it is found that autonomous cars are developing rapidly. The development of autonomous cars has greatly improved the efficiency and safety of transportation systems. For the entire automobile development industry, autonomous cars will undoubtedly become the first direction of automobile development. In this paper, the composition of unmanned vehicles is described by explaining the development status of unmanned vehicles at home and abroad. This paper also briefly analyzes the key technologies of autonomous vehicles: environment-aware technology, navigation and positioning technology, path planning technology, decision-making control technology, and further compares the current problems and development prospects of autonomous technology, and through the investigation of materials The study further prospects the development direction of unmanned vehicles. In the end, it was found that despite the series of problems, unmanned driving is in line with the trend of intelligent and Internet-oriented vehicles, which is a major opportunity for the automotive industry to change under the Internet wave.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - A Review of the Technical Content of Autonomous Vehicle
    AU  - Wensheng Sun
    AU  - Shufeng Wang
    Y1  - 2018/08/28
    PY  - 2018
    N1  - https://doi.org/10.11648/j.ijse.20180202.11
    DO  - 10.11648/j.ijse.20180202.11
    T2  - International Journal of Systems Engineering
    JF  - International Journal of Systems Engineering
    JO  - International Journal of Systems Engineering
    SP  - 42
    EP  - 46
    PB  - Science Publishing Group
    SN  - 2640-4230
    UR  - https://doi.org/10.11648/j.ijse.20180202.11
    AB  - In order to analyze the system composition of the development status of autonomous technology and the problems and prospects of autonomous vehicles, this paper analyzes the development of unmanned driving technology at home and abroad in recent years through field research and literature review, and finds Internet technology. Rapid development has brought new changes to the automotive industry, and the increasingly serious traffic safety problem has accelerated the development of autonomous technology. Through investigation, it is found that autonomous cars are developing rapidly. The development of autonomous cars has greatly improved the efficiency and safety of transportation systems. For the entire automobile development industry, autonomous cars will undoubtedly become the first direction of automobile development. In this paper, the composition of unmanned vehicles is described by explaining the development status of unmanned vehicles at home and abroad. This paper also briefly analyzes the key technologies of autonomous vehicles: environment-aware technology, navigation and positioning technology, path planning technology, decision-making control technology, and further compares the current problems and development prospects of autonomous technology, and through the investigation of materials The study further prospects the development direction of unmanned vehicles. In the end, it was found that despite the series of problems, unmanned driving is in line with the trend of intelligent and Internet-oriented vehicles, which is a major opportunity for the automotive industry to change under the Internet wave.
    VL  - 2
    IS  - 2
    ER  - 

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Author Information
  • College of Transportation, Shandong University of Science and Technology, Qingdao, China

  • College of Transportation, Shandong University of Science and Technology, Qingdao, China

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