Rapid Door Number Recognition by a Humanoid Mobile Robot
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A static door number recognition system for mobile robots in office buildings is presented. The motivation behind the development of such a system is to update the localization results of dead reckoning or improve other distance-sensor based localization. Emphasis is placed on how to reduce the processing time of a template-matching based recognition method to enable real-time image-base localization for a mobile robot. A gap-based heuristic idea is put forward to increase the recognition accuracy. The experimental results show that door numbers can be rapidly and correctly identified under different environmental conditions and postures of the camera.
Keywordsrecognition door number plate template matching image processing mobile robot
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- Bischoff, R.: 2001, System reliability and safety concepts of the humanoid service robot HERMES, in: Proc. of the 1st IARP/IEEE-RAS Joint Workshop on Technical Challenge for Dependable Robots in Human Environments, Seoul, 21–22 May, pp. 1–2. Google Scholar
- Hanmandlu, M., Kumar, H., and Mohan, K. R. M.: 1999, Neural based handwritten character recognition, in: IEEE 5th Internat. Conf. on Document Analysis and Recognition, Bangalore, India, 20–22 September, pp. 241–244. Google Scholar
- Leedham, G., Guerfali, W., and Plamondon, R. (eds): 2002, Handwriting Processing and Applications, Special Issue of Pattern Recognition 35(5). Google Scholar
- Letourneau, D., Michaud, F., Valin, J.-M., and Proulx, C.: 2003, Making a mobile robot read textual messages, in: Proc. of the IEEE Internat. Conf. on Systems, Man and Cybernetics, Vol. 5, pp. 4236–4241. Google Scholar
- Liu, Y., Yamamura, T., Tanaka, T., and Ohnishi, N.: 1999, Character-based mobile robot navigation, in: IEEE Internat. Conf. on Intelligent Robots and Systems, Vol. 2, pp. 610–616. Google Scholar
- Mata, M., Armingol, J. M., De la Escalera, A., and Salichs, M. A.: 2001, A visual landmark recognition system for topological navigation of mobile robots, in: Proc. of IEEE Internat. Conf. on Robotics and Automation, Vol. 2, pp. 1124–1129. Google Scholar
- Radhakrishnan, D. and Nourbakhsh, I. R.: 1999, Topological robot localization by training a vision-based transition detector, in: IEEE Internat. Conf. on Intelligent Robots and Systems, Vol. 1, pp. 468–473. Google Scholar
- Talluri, R. and Aggarwal, J. K.: 1995, Position estimation techniques for an autonomous mobile robot – A review, in: C. H. Chen, L. F. Pau and P. S. P. Wang (eds), Handbook of Pattern Recognition and Computer Vision, pp. 769–801. Google Scholar
- Tomono, M. and Yuta, S.: 2000, Mobile robot navigation in indoor environments using object and character recognition, in: Proc. of IEEE Internat. Conf. on Robotics and Automation, Vol. 1, pp. 313–320. Google Scholar
- Tomotis, N.: 2001, Hybrid, metric-topological, mobile robot navigation, PhD Thesis, Swiss Federal Institute of Technology, Lausanne. Google Scholar
- Tschichold-Gürman, N. N. and Cattin, P. C.: 1998, Recognition of door-number plates for mobile robot localization, in: 3rd Internat. Workshop Neuronale Netze in der Anwendung ‘98, Universität Magdeburg. Google Scholar