Fast Communication and Efficient Architecture of Intelligent Vehicle

Abstract:

Intelligent Ground Vehicle needs real-time communication system and a better architecture to handle a variety of sensors. This paper presents a fast communication and efficient architecture for intelligent vehicle (FCEA-IV). The vehicle contains three control centers, communicating with each other based on real-time control system. And also it has a hybrid mode. In auto driving mode, it will go under the better path, calculated by considering comprehensive environmental factors. While in active control mode, the vehicle will be controlled by remote commands. First of all, we will discuss RCS (real-time control system) and why we choose it. Then the overview of system, including architecture and control structure will be discussed. Further some communication message and work flow will be studied in detail. At last we share some experiments to test the efficiency of the communication system.

• Periodical: Applied Mechanics and Materials (Volume 740)
• Pages: 165-170
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.740.165
• Online since: March 2015
• Authors: Hui Zhao*, Qi Jin Sun, Fang Zhao
• Keywords: Intelligent Vehicle, Multilevel Hierarchical Control, Path Planning, Real-Time Control System

References

[1] Bishop, Richard. Intelligent vehicle applications worldwide., Intelligent Systems and their Applications, IEEE 15. 1 (2000): 78-81.

DOI: 10.1109/5254.820333

[2] Kaufman, David E., and Robert L. Smith. Fastest paths in time-dependent networks for intelligent vehicle-highway systems application∗., Journal of Intelligent Transportation Systems 1. 1 (1993): 1-11.

DOI: 10.1080/10248079308903779

[3] Zhao, Yilin. Vehicle location and navigation systems. (1997).

[4] Jim Albus, Tony Barbera, Craig Schlenoff (2004).

[5] James S. Albus (1992). A Reference Model Architecture for Intelligent Systems Design Intelligent Systems Division, Manufacturing Engineering Laboratory, National Institute of Standards and Technology.

[6] http: /www2. ece. ohio-state. edu/~passino/RCSweb/intro_to_RCS. html.

[7] Hill R C, Cury J E R, de Queiroz M H, et al. Multi-level hierarchical interface-based supervisory control[J]. Automatica, 2010, 46(7): 1152-1164.

DOI: 10.1016/j.automatica.2010.04.002

[8] Rui Tao, Haiyong Luo, Fang Zhao, Yongzhong Li. Multimodal Algorithm based on Particle Filter for Indoor Localization with Smartphones. 2014 International Conference on Computer, Communications and Information Technology.

DOI: 10.2991/ccit-14.2014.38

[9] Szczerba R J, Galkowski P, Glicktein I S, et al. Robust algorithm for real-time route planning[J]. Aerospace and Electronic Systems, IEEE Transactions on, 2000, 36(3): 869-878.

DOI: 10.1109/7.869506

[10] NIST ISD Research areas overview. Last Updated: 5/12/2003. Accessed Aug 2, (2009).

[11] Bishop, Richard. Intelligent vehicle technology and trends. (2005).