An integrated vehicle navigation system utilizing lane-detection and lateral position estimation systems in difficult environments for GPS

IEEE Transactions on Intelligent Transportation Systems

Volumn 15, Issue 6, 2014, Pages 2615-2629

  Rose, Christopher ^a   Britt, Jordan ^a   Allen, John ^b   Bevly, David ^a  

^a AUBURN UNIVERSITY   (United States)

^b Aurora Flight Sciences ^*  (United States)

Author keywords

Camera; Global Navigation Satellite System; Global Positioning System (GPS); inertial measurement unit (IMU); Kalman filter; lane detection; light detection and ranging (lidar); outages; sensor fusion

Indexed keywords

CAMERAS; DISTANCE MEASUREMENT; GLOBAL POSITIONING SYSTEM; KALMAN FILTERS; OPTICAL RADAR; OUTAGES; ROAD AND STREET MARKINGS; SATELLITES; TRACKING (POSITION); UNITS OF MEASUREMENT;

GLOBAL NAVIGATION SATELLITE SYSTEMS; INERTIAL MEASUREMENT UNIT; LANE DETECTION; LIGHT DETECTION AND RANGING; SENSOR FUSION;

NAVIGATION SYSTEMS;

EID: 84915754328     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2014.2321108     Document Type: Article

References (25)

1. "Traffic safety facts 2008 data," Nat. Highway Traffic Safety Admin., Washington, DC, USA, DOT HS 811 162, 2008. [Online]. Available: http://www-nrd.nhtsa.dot.gov/Pubs/811162.PDF
2. J. Kibbel, W. Justus, and K. Furstenberg, "Lane estimation and departure warning using multilayer laserscanner," in Proc. IEEE Intell. Transp. Syst., 2005, pp. 607-611.
3. K. Dietmayer et al., Advanced Microsystems for Automotive Applications 2005. Berlin, Germany: Springer-Verlag, 2005.
4. A. von Reyher, A. Joos, and H. Winner, "A lidar-based approach for near range lane detection," in Proc. IEEE Intell. Veh. Symp., 2005, pp. 147-152.
5. C. R. Jung and C. R. Kelber, "A lane departure warning system based on a linear-parabolic lane model," in Proc. IEEE Intell. Veh. Symp., 2004, pp. 891-895.
6. Y. Feng, W. Rong-ben, and Z. Rong-hui, "Based on digital image lane edge detection and tracking under structure environment for autonomous vehicle," in Proc. IEEE Int. Autom. Logist. Conf., 2007, pp. 1310-1314.
7. P.-Y. Hsiao and C.-W. Yeh, "A portable real-time lane departure warning system based on embedded calculating technique," in Proc. IEEE 63rd VTC-Spring, 2006, vol. 6, pp. 2982-2986.
8. A. Takahashi and Y. Ninomiya, "Model-based lane recognition," in Proc. IEEE Intell. Veh. Symp., 1996, pp. 201-206.
9. E. D. Dickmanns and B. D. Mysliwetz, "Recursive 3-D road and relative ego-state recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 2, pp. 199-213, Feb. 1992.
10. D. Khosla, "Accurate estimation of forward path geometry using twoclothoid road model," in Proc. IEEE Intell. Veh. Symp., 2002, vol. 1, pp. 154-159.
11. D. A. Schwartz, "Clothoid road geometry unsuitable for sensor fusion clothoid parameter sloshing," in Proc. IEEE Intell. Veh. Symp., 2003, pp. 484-488.
12. I. Miller and M. Campbell, "Particle filtering for map-aided localization in sparse GPS environments," in Proc. IEEE Int. Conf. Robotics and Automation ICRA 2008, 2008, pp. 1834-1841.
13. H. Li, F. Nashashibi, and G. Toulminet, "Localization for intelligent vehicle by fusing mono-camera, low-cost GPS and map data," in Proc. 13th IEEE ITSC, 2010, pp. 1657-1662.
14. A. Vu, A. Ramanandan, A. Chen, J. Farrell, and M. Barth, "Real-time computer vision/DGPS-aided inertial navigation system for lane-level vehicle navigation," IEEE Trans. Intell. Transp. Syst., vol. 13, no. 2, pp. 899-913, Jun. 2012.
15. Y. Zhao, B. Song, and J. Li, "A map matching algorithm in GPS-based car navigation system," in Proc. 3rd Int. Conf. IIHMSP, 2007, vol. 1, pp. 77-80.
16. C. Bahlmann, M. Pellkofer, J. Giebel, and G. Baratoff, "Multi-modal speed limit assistants: Combining camera and GPS maps," in Proc. IEEE Intell. Veh. Symp., 2008, pp. 132-137.
17. C. Rose and D.M. Bevly, "Lane level localization with camera and inertial measurement unit using an extended Kalman filter," M.S. thesis, Auburn Univ., Auburn, AL, USA, 2010.
18. W. Niblack, An Introduction to Digital Image Processing. Englewood Cliffs, NJ, USA: Prentice Hall, 1986.
19. J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986.
20. P. V. C. Hough, "Machine analysis of bubble chamber pictures," in Proc. Int. Conf. High Energy Accel. Instrum., 1959, pp. 554-558.
21. J. Britt, "Lane detection calibration and attitude determination with a multilayer Lidar for vehicle safety systems," M.S. thesis, Auburn Univ., Auburn, AL, USA, 2010.
22. J. Allen, "Use of vision sensors and lane maps to aid GPS-INS navigation," M.S. thesis, Auburn Univ., Auburn, AL, USA, 2011.
23. J. Cheng, J. Farrell, L. Yu, and E. Thomas, "Aided integer ambiguity resolution algorithm," in Proc. PLANS, 2004, pp. 740-745.
24. R. Stengel, Optimal Control and Estimation. New York, NY, USA: Dover, 1994.
25. I. Rhee, M. Abdel-Hafez, and J. Speyer, "Observability of an integrated GPS/INS during maneuvers," IEEE Trans. Aerosp. Electron. Syst., vol. 40, no. 2, pp. 526-535, Apr. 2004.