Multi-sensor based vehicle autonomous navigation for vehicle infrastructure integration: Concept and simulation analysis

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011

Volumn , Issue , 2011, Pages 698-702

  Liu, Jiang ^a,b   Wang, Yun Peng ^a   Cai, Bai Gen ^b   Wang, Jian ^b   Shangguan, Wei ^b  

^a BEIHANG UNIVERSITY   (China)

^b BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

data fusion; multi sensor integration; vehicle autonomous navigation; vehicle infrastructure integration

Indexed keywords

AUTONOMOUS NAVIGATION; AUTONOMOUS NAVIGATION SYSTEMS; FILTERING STRATEGIES; INTEGRATION SCHEME; INTELLIGENT TRANSPORTATION SYSTEMS; MULTI SENSOR; MULTISENSOR DATA FUSION; ON-BOARD SENSORS; PERFORMANCE REQUIREMENTS; SIMULATION ANALYSIS; SIMULATION AND ANALYSIS; SYSTEM STRUCTURES; TIME-SPACE; VEHICLE DYNAMIC MODEL;

DATA FUSION; ELECTRICAL ENGINEERING; INTEGRATION; INTELLIGENT SYSTEMS; NAVIGATION SYSTEMS; SENSORS;

VEHICLE PERFORMANCE;

EID: 84861647849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TMEE.2011.6199298     Document Type: Conference Paper

References (16)

1. T. Dao, K. Leung, C. Clark, Jan. Huissoon, "Co-operative lane-level positioning using markov localization," IEEE Transactions on Intelligent Transportation Systems, vol.9, no.1, 2008, pp. 48-57.
2. F. Zhang, "The current situation and development thinking of the Intelligent Transportation System in China," International Conference on Mechanic Automation and Control Engineering (MACE), Wuhan, China, June 26-28, 2010, pp. 2826-2829.
3. Y. Wang, Z. Yi, H. Xia, D. Tian, "Cooperative traffic alarming method based on epidemic model," Journal of Beijing University of Aeronautics and Astronautics, vol.37, no.5, 2011, pp. 515-518.
4. S. Peirce, R. Mauri, "Vehicle-Infrastructure Integration (VII) initiative benefit-cost analysis: Pre-testing estimates," Draft Report, FHWA, U.S. Department of Transportation, RITA, March 30, 2007.
5. D. Ni, D. Henclewood, "Simple engine models for VII-enabled in-vehicle applications," IEEE Transactions on Vehicular Technology, vol.57, no.5, 2008, pp. 2695-2702.
6. R. Toledo-Moreo, D. Betaille, F. Peyret, J. Laneurit, "Fusing GNSS, dead-reckoning, and enhanced maps for road vehicle lane-level navigation," IEEE Journal of Selected Topics in Signal Processing, vol.3, no.5, 2009, pp. 798-809.
7. K. Chiang, Y. Huang, "An intelligent navigator for seamless INS/GPS integrated land vehicle navigation applications," Applied Soft Computing, vol.8, no.1, 2008, pp. 722-733.
8. P. Farradyne, "VII architecture and functional requirements (version 1.1)," ITS Joint Program Office, U.S. Department of Transportation, July, 2005.
9. D. Obradovic, H. Lenz, M. Schupfner, "Fusion of sensor data in Siemens car navigation system," IEEE Transactions on Vehicular Technology, vol.56, no.1, 2007, pp. 43-50.
10. G. Foresti, C. Regazzoni, "Multisensor data fusion for autonomous vehicle navigation in risky environments," IEEE Transactions on Vehicular Technology, vol.51, no.5, 2002, pp. 1165-1185.
11. M. Schlingelhof, D. Betaille, P. Bonnifait, et al, "Advanced positioning technology approach for Co-operative Vehicle Infrastructure Systems (CVIS)," 6th ITS in Europe Congress & Exhibition, Aalborg, Denmark, June 18-20, 2007.
12. A. Noureldin, T. Karamat, M. Eberts, et al, "Performance enhancement of MEMS-based INS/GPS integration for low-cost navigation applications," IEEE Transactions on Vehicular Technology, vol.58, no.3, 2009, pp. 1077-1096.
13. K. TinLeung, J. Whidborne, D. Purdy, P. Barber, "Road vehicle state estimation using low-cost GPS/INS," Mechanical Systems and Signal Processing, vol.25, no.6, 2011, pp. 1988-2004.
14. L. Rong, V. Jilkov, "Survey of maneuvering target tracking. Part I: Dynamic models," IEEE Transactions on Aerospace and Electronic Systems, vol.39, no.4, 2003, pp. 1333-1364.
15. R. Mittelman, "Topics in nonlinear and robust estimation theory," Ph.D. dissertation, the Department of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts, USA, 2009.
16. I. Arasaratnam, S. Haykin, "Cubature Kalman filters," IEEE Transactions on Automatic Control, vol.54, no.6, June 2009, pp. 1254-1269.