Vision-based autonomous vehicle guidance for indoor security patrolling by a sift-based vehicle-localization technique

IEEE Transactions on Vehicular Technology

Volumn 59, Issue 7, 2010, Pages 3261-3271

  Chen, Kuan Chieh ^a   Tsai, Wen Hsiang ^b,c  

^a RESEARCH CENTER FOR INFORMATION TECHNOLOGY INNOVATION   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c ASIA UNIVERSITY   (Taiwan)

Author keywords

3 D space transformation; Autonomous vehicle; computer vision; guidance; landmarks; planar surfaced objects; scale invariant feature transformation (SIFT); security patrolling; vehicle localization

Indexed keywords

3-D SPACE; AUTONOMOUS VEHICLES; GUIDANCE; LANDMARKS; PLANAR-SURFACED OBJECTS; SCALE-INVARIANT; SECURITY PATROLLING; VEHICLE LOCALIZATION;

COMPUTER VISION; HOUGH TRANSFORMS; NAVIGATION; THREE DIMENSIONAL;

VEHICLES;

EID: 77956717913     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2010.2052079     Document Type: Article

References (26)

1. G. N. DeSouza and A. C. Kak, "Vision for mobile robot navigation: A survey," IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.2, pp. 237-267, Feb. 2002.
2. G. J. Jang, S. H. Lee, and I. S. Kweon, "Color landmark based selflocalization for indoor mobile robots," in Proc. IEEE Int. Conf. Robot. Autom., Washington, DC, May 2002, vol.1, pp. 1037-1042.
3. S. Segvic and S. Ribaric, "Determining the absolute orientation in a corridor using projective geometry and active vision," IEEE Trans. Ind. Electron., vol.48, no.3, pp. 696-710, Jun. 2001.
4. C. H. Ku and W. H. Tsai, "Obstacle avoidance in person following for vision-based autonomous land vehicle guidance using vehicle location estimation and quadratic pattern classifier," IEEE Trans. Ind. Electron., vol.48, no.1, pp. 205-215, Feb. 2001.
5. N. X. Dao, B.-J. You, S.-R. Oh, and M. Hwangbo, "Visual selflocalization for indoor mobile robots using natural lines," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., Las Vegas, NV, Oct. 2003, vol.2, pp. 1252-1257.
6. Z. Jia, A. Balasuriya, and S. Challa, "Recent developments in vision based target tracking for autonomous vehicles navigation," in Proc. IEEE Conf. Intell. Transp. Syst., Toronto, ON, Canada, Sep. 2006, pp. 765-770.
7. K. L. Chiang and W. H. Tsai, "Vision-based autonomous vehicle guidance in indoor environments using odometer and house corner location information," in Proc. IEEE Int. Conf. Intell. Inf. Hiding Multimed. Signal Process., Pasadena, CA, Dec. 2006, pp. 415-418.
8. C. Micheloni, G. L. Foresti, C. Piciarelli, and L. Cinque, "An autonomous vehicle for video surveillance of indoor environments," IEEE Trans. Veh. Technol., vol.56, no.2, pp. 487-498, Mar. 2007.
9. H. L. Chou and W. H. Tsai, "A new approach to robot location by house corners," Pattern Recognit., vol.19, no.6, pp. 439-451, 1986.
10. T. Okuma, K. Sakaue, H. Takemura, and N. Yokoya, "Real-time camera parameter estimation from images for a mixed reality system," in Proc. 15th Int. Conf. Pattern Recognit., Barcelona, Spain, Sep. 2000, vol.4, pp. 482-486.
11. J. Huang, C. Zhao, Y. Ohtake, H. Li, and Q. Zhao, "Robot position identification using specially designed landmarks," in Proc. IEEE Conf. Instrum. Meas. Technol., Sorrento, Italy, Apr. 2006, pp. 2091-2094.
12. C. J. Wu and W. H. Tsai, "Location estimation for indoor autonomous vehicle navigation by omni-directional vision using circular landmarks on ceilings," Robot. Auton. Syst., vol.57, no.5, pp. 546-555, May 2009.
13. D. Xu, L. Han, M. Tan, and Y. F. Li, "Ceiling-based visual positioning for an indoor mobile robot with monocular vision," IEEE Trans. Ind. Electron., vol.56, no.5, pp. 1617-1628, May 2009.
14. Y. Matsumoto, K. Sakai, M. Inaba, and H. Inoue, "View-based approach to robot navigation," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., Takamatsu, Japan, Nov. 2000, vol.3, pp. 1702-1708.
15. G. Blanc, Y. Mezouar, and P. Martinet, "Indoor navigation of a wheeled mobile robot along visual routes," in Proc. IEEE Int. Conf. Robot. Autom., Barcelona, Spain, Apr. 2005, pp. 3365-3370.
16. A. Remazeilles and F. Chaumette, "Image-based robot navigation from an image memory," Robot. Auton. Syst., vol.55, no.4, pp. 345-356, Apr. 2007.
17. F. Fraundorfer, C. Engels, and D. Nister, "Topological mapping, localization and navigation using image collections," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst., San Diego, CA, Oct. 2007, pp. 3872-3877.
18. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol.60, no.2, pp. 91-110, Nov. 2004.
19. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," in Proc. Int. Conf. Comput. Vis. Pattern Recog., Madison, WI, Jun. 2003, vol.2, pp. 257-263.
20. D. G. Lowe, "Local feature view clustering for 3D object recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Kauai, HI, Dec. 2001, vol.1, pp. 682-688.
21. D. H. Ballard, "Generalizing the Hough transform to detect arbitrary patterns," Pattern Recognit., vol.13, no.2, pp. 111-122, 1981.
22. M. A. Fischler and R. C. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Commun. ACM, vol.24, no.6, pp. 381-395, Jun. 1981.
23. Y. Ke and R. Sukthankar, "PCA-SIFT: A more distinctive representation for local image descriptors," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Washington, DC, Jun. 2004, vol.2, pp. 506-513.
24. H. Lejsek, F. H. Asmundsson, B. T. Jonsson, and L. Amsaleg, "Scalability of local image descriptors: A comparative study," in Proc. 14th Annu. ACM Int. Conf. Multimed., Santa Barbara, CA, Oct. 2006, pp. 589-598.
25. J. M. Morel and G. Yu, "ASIFT: A new framework for fully affine invariant image comparison," SIAM J. Imag. Sci., vol.2, no.2, pp. 438-469, Apr. 2009.
26. S. Achar and C. V. Jawahar, "Adaptation and learning for image based navigation," in Proc. 6th Indian Conf. Comput. Vis. Graph. Image Process., Bhubaneswar, India, Dec. 2008, pp. 103-110.