Design of Navigation Map Model for Intelligent Vehicle Combined with the Traffic Sign Recognition


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Abstract


Map data modeling is one of the key technologies of positioning and navigation. Hierarchical map data structure which is integrated with traffic sign information is designed based on the navigation geographic data model for autonomous navigation of the intelligent vehicle. The application example shows that the model can express road network topology subtly, and establish the association between the road network and traffic rules easily. It can not only provide static path planning by analyzing the road network structure, but also combine with the traffic sign recognition technologies to assist the intelligent vehicle to achieve dynamic navigation
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Keywords


Intelligent Vehicle; Traffic Sign Recognition; Navigation Map Model

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References


Congmin Bai, Autonomous Navigation Technique of Intelligent Vehicle in Regional Traffic Environment, Ph.D. Thesis, University of Shanghai Jiao Tong, Shanghai, China, 2010.

Dongbo Liu, Guorong Liu, Peixin Qu, Based on Particle Swarm Optimization Mobile Robot FastSLAM Method, (2012) International Review on Computers and Software (IRECOS), 7 (1), pp. 53-59.

Zheng Li, Hanqing Zhao, Daxue Liu, Hangen He, Real-Time Vehicle Detection Based on Active Vision, Computer Simulation, Vol. 26 n. 5, 2009, pp. 286-290.

Haitao Liu, Shengxiao Guan, Liang Qin, et al, Study on vision-based navigation system of intelligent-Robot, Computer Applications and Software, Vol. 27 n. 12, 2010, pp. 218-220.

Qingquan Li, Jinghai Xu, Nianbo Zheng, et al, Function based navigation data model, Geomatics and Information Science of Wuhan University, Vol. 32 n. 3, 2007, pp. 266-270.

ISO/TC204/WG3, Intenlligent Transportation Systems - Geographic Data Files (GDF) - Overall Data Specification ISO, IS014825, ISO. 200.

Qingquan Li, Jinghai Xu, Mingfeng Li, Progress and trend of research on navigable digital map data mode, Journal of Geomatics, Vol. 32 n. 6, 2007, pp. 22-25.

Defense Advanced Research Projects Agency, Route network definition file (RNDF) and mission data file (MDF) formats, December 2006.

Xiaobo Zhang, Bin Dai, Daxue Liu, Qingyang Chen, Auto-mapping approach of autonomous land vehicle in off road environment, Application Research of Computers, Vol. 28 n. 3, 2011, pp. 984-987.

B. Douillard, D. Fox, F. Ramos, H. Durrant-Whyte, Classification and Semantic Mapping of Urban Environments, International Journal of Robotics Research, Vol. 30 n. 1, 2011, pp. 5-32.
http://dx.doi.org/10.1177/0278364910373409

Lu Lou, Xin Xu, Fast and Robust Traffic Sign Detection and Recognition Using Visual Features, (2012) International Review on Computers and Software (IRECOS), 7 (2), pp. 744-748.

Hechri, A, Mtibaa, A, Automatic detection and recognition of road sign for driver assistance system, Proceedings of the Electro-technical Conference (MELECON) (Page: 888-891, Year of Publication: March 25-28, 2012 ISBN: 978-1-4673-0782-6).

Malaikrisanachalee S., Adams T. M., Lane-based Network for Transportation Network Flow Analysis and Inventory, Proceedings of TRB 2005 Annual Meeting CD-ROM.


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