1. Thorpe C, HebertMH,KanadeT, et al.Vision and navigation for the Carnegie-Mellon Navlab. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 10(3):362-373
2. Pomerleau D A, Jochem T M. Rapidly adapting machine vision for automated vehicle steering. IEEE Expert, 1996, 11(2):19-27
3. Kluge K C. Extracting road curvature and orientation room image edge point without perceptual grouping into features. Proceedings of theIntelligent Vehicles’94 Symposium, Oct 24-26, 1994, Paris, France. Piscataway,NJ,USA: IEEE,1994: 109-114
4. Maurer M, Behringer R, Furst S, et al. A compact vision system for road vehicle guidance. Proceedings of the 13th International Conference on Pattern Recognition: Vol 3,Aug 25-29, 1996, Vienna, Austria. Piscataway,NJ,USA: IEEE,1996: 313-317
5. Bertozzi M, Broggi A. GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Transactions on Image Processing, 1998, 7(1): 62-81
6. Xu Y C, Wang R B, Li B, et al. Steering control algorithm design for machine vision guided intelligent vehicle.China Journal of Highway and Transport, 2001,14(3):96-100(in Chinese)
7. Li H, Ding D H, He K Z. Research on navigation control algorithm about THMR-V. Robot, 2001, 23(6):525-530(in Chinese)
8. Shi M P, Peng X J, He H G. Research and accomplishment of auto-navigating simulation system for virtual unmanned vehicles.Journal of System Simulation, 2004, 16(8):1721-1724(in Chinese)
9. Qian J, Yang R Q, Wang C, et al. Landmark based localization of intelligent vehicle.Journal of Shanghai Jiaotong University, 2007,41(6):894-898(in Chinese)
10. Yang D, Wang W, Wang J Y, et al. Research of unmanned driving electric vehicle navigation system based on photoelectric sensor.Light Vehicles, 2007,(5): 4-7(in Chinese)
11. Li Q, Zheng N N, Cheng H. Springrobot: a prototype autonomous vehicle and its algorithms for lane detection. IEEE Transactions on Intelligent Transportation Systems, 2004, 5(4): 300-308
12. An J Y, Wen G L, Lu Y Z. New statistical recognition method for road signs.Computer Science, 2009, 36(10): 265-267 (in Chinese)
13. An J Y, Wen G L, Lu Y Z, et al.Multi-sensor data fusion for vehicle autonomous navigation.Automotive Engineering, 2009, 31(7):640-645 (in Chinese)
14. Xu Y C, Chang M, Liu H Q, et al. General design of unmanned driving system for Changfeng intelligent vehicle.Automotive Engineering, 2006,28(12): 1081-1086(in Chinese)
15. Gao L. Study on the method of recognizing shadow navigation lane for CyberCar. Master Thesis. Changchun, China:Jilin University, 2005(in Chinese)
16. AndresenF,DavisLS,EastmanR, et al. Visual algorithms for autonomous navigation.Proceedings of the 1985 IEEE International Conference on Robotics and Automation: Vol 2, Mar 25-28, 1985, St. Louis, MO, USA. Piscataway,NJ,USA: IEEE, 1985: 856-861
17. Lin X, Li H D,Gu W K, et al. A vision-based navigation system in structural road environment.Journal of Zhejiang University: Engineering Science,2002,36(6):630-633(in Chinese)
18. Liang D, Shi Z K. Path planning and control algorithm for intelligent vehicles under semi-structured road condition.Journal of Transportation System Engineering and Information Technology, 2011,11(2): 44-51(in Chinese)
19. Li Q, Zheng N N, Ma L, et al. Tracking of unstructured road based on principal component analysis neural networks.Robot, 2005,27(3): 247-251(in Chinese) |