Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2015, Article ID 410796, 6 pages
http://dx.doi.org/10.1155/2015/410796
Research Article

The Entropy-Cost Function Evaluation Method for Unmanned Ground Vehicles

Department of Transportation Engineering, Beijing Institute of Technology, Beijing 100081, China

Received 12 June 2015; Accepted 7 October 2015

Academic Editor: Xiaosong Hu

Copyright © 2015 Ya-Nan Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Behringer, S. Sundareswaran, B. Gregory et al., “The DARPA a grand challenge—development of an autonomous vehicle,” in Proceedings of the IEEE Intelligent Vehicles Symposium, pp. 226–231, Parma, Italy, June 2004. View at Scopus
  2. DARPA, http://www.darpa.mil/.
  3. E. Krotkov, S. Fish, L. Jackel, B. McBride, M. Perschbacher, and J. Pippine, “The DARPA PerceptOR evaluation experiments,” Autonomous Robots, vol. 22, no. 1, pp. 19–35, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. C. Urmson, J. Anhalt, D. Bagnell et al., “Autonomous driving in urban environments: boss and the urban challenge,” Journal of Field Robotics, vol. 25, no. 8, pp. 425–466, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. Future Challenge, http://ccvai.xjtu.edu.cn/news.
  6. G. Xiong, X. Zhao, H. Liu et al., “Research on the quantitative evaluation system for unmanned ground vehicles,” in Proceedings of the IEEE Intelligent Vehicles Symposium (IV '10), pp. 523–527, IEEE, San Diego, Calif, USA, June 2010. View at Publisher · View at Google Scholar
  7. X. Gao, Research on Information Processing of Intelligent Behavior and Evaluation of Unmanned Vehicle Based on Typical Working Condition, Beijing Institute of Technology, 2012.
  8. S. X. Liu, Research on Evaluation of Unmanned Vehicle Intelligent U-Turn Behavior, Beijing Institute of Technology, Beijing, China, 2014.
  9. X. Zhang, Y. N. Zhao, L. Gao, and D. H. Hao, “Evaluation framework and method of the intelligent behaviors of unmanned ground vehicles based on AHP scheme,” Applied Mechanics and Materials, vol. 721, pp. 476–480, 2015. View at Google Scholar
  10. X. Zhang, Research on Evaluation of Intelligent Behaviors through Specials Areas for Unmanned Ground Vehicles, Beijing Institute of Technology, 2015.
  11. J. Wei and J. M. Dolan, “A robust autonomous freeway driving algorithm,” in Proceedings of the IEEE 2009 Intelligent Vehicles Symposium, pp. 1015–1020, Xi'an, China, June 2009. View at Publisher · View at Google Scholar
  12. M. Bertozzi, A. Broggi, and A. Fascioli, “Vision-based intelligent vehicles: state of the art and perspectives,” Robotics and Autonomous Systems, vol. 32, no. 1, pp. 1–16, 2000. View at Publisher · View at Google Scholar · View at Scopus
  13. J. Leonard, J. How, S. Teller et al., “A perception-driven autonomous urban vehicle,” Journal of Field Robotics, vol. 25, no. 10, pp. 727–774, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. X. Hu, N. Murgovski, L. M. Johannesson, and B. Egardt, “Comparison of three electrochemical energy buffers applied to a hybrid bus powertrain with simultaneous optimal sizing and energy management,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 3, pp. 1193–1205, 2014. View at Publisher · View at Google Scholar · View at Scopus
  15. X. Hu, N. Murgovski, L. M. Johannesson, and B. Egardt, “Optimal dimensioning and power management of a fuel cell/battery hybrid bus via convex programming,” IEEE/ASME Transactions on Mechatronics, vol. 20, no. 1, pp. 457–468, 2015. View at Publisher · View at Google Scholar · View at Scopus
  16. X. Hu, L. Johannesson, N. Murgovski, and B. Egardt, “Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus,” Applied Energy, vol. 137, pp. 913–924, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. S. Li, K. Li, J. Wang, X. Lian, H. Ukawa, and D. Bai, “Modeling of heavy-duty truck driver's car-following characteristics and its comparative verification,” International Journal of Automotive Technology, vol. 11, no. 1, pp. 81–87, 2010. View at Google Scholar
  18. B. Ran, H. Tan, J. Feng, W. Wang, Y. Cheng, and P. Jin, “Estimating missing traffic volume using low multilinear rank tensor completion,” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2015. View at Publisher · View at Google Scholar
  19. H. Tan, G. Feng, J. Feng, W. Wang, Y.-J. Zhang, and F. Li, “A tensor-based method for missing traffic data completion,” Transportation Research Part C: Emerging Technologies, vol. 28, pp. 15–27, 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. J. Wei, J. M. Dolan, and B. Litkouhi, “A prediction- and cost function-based algorithm for robust autonomous freeway driving,” in Proceedings of the IEEE Intelligent Vehicles Symposium (IV '10), pp. 512–517, IEEE, San Diego, Calif, USA, June 2010. View at Publisher · View at Google Scholar · View at Scopus