Decision trees and CBR for the navigation system of a CNN-based autonomous robot

Studies in Fuzziness and Soft Computing

Volumn 208, Issue , 2007, Pages 181-201

  Pazienza, Giovanni Egidio ^a   Golobardes Ribé, Elisabet ^a   Vilasís Cardona, Xavier ^a   Balsi, Marco ^b  

^a UNIVERSITAT RAMON LLULL   (Spain)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34547447048     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-37421-3_11     Document Type: Article

References (20)

1. De Souza G.N., Avinash C. Kak A.C., Vision for Mobile Robot Navigation: A Survey, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 24, no. 2, (2002) 237-267
2. Weng J., Chen S., Visual Learning with Navigation as an Example, IEEE Intelligent Systems, (Sep/Oct 2000) 63-71
3. Bertozzi M., Broggi A.,GOLD: A Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection. IEEE Trans. on Image Proc., vol. 7, no. 1, (1998), 62-81
4. Pomerleau D.: RALPH: Rapidly Adapting Lateral Position Handler. IEEE Symposium on Intelligent Vehicles, vol. 7, no. 1, (1995) 506-511
5. Chua L.O., L. Yang, Cellular Neural Networks: Theory. IEEE Trans. Circuits and Systems, vol. 35, no. 10, (1988) 1257-1272
6. Chua L.O., Roska T., The CNN Paradigm. IEEE Trans. Circuits and Systems - I, Fundamental Theory and Appl., vol. 40, no. 3, (1993) 147-156
7. Vilasís-Cardona X., Luengo S., Solsona J., Apicella G., Maraschini A., Balsi M., Guiding a Mobile Robot with Cellular Neural Networks. Int. J. of Circ. Th. Appl., vol. 30, (2002) 611-624
8. Balsi M., Vilasís-Cardona X., Robot Vision Using Cellular Neural Networks. Autonomous Robotic Systems, Physica-Verlag (2002) 431-450
9. Pazienza G.E., Giangrossi P., Tortella S., Balsi M., Vilasís-Cardona X., Tracking for a CNN Guided Robot. ECCTD '05 Proc., Cork, Ireland (2005)
10. Roska T., Chua L.O., The CNN Universal Machine: An Analogic Array Computer. Machine Learning, vol. 1, (1986) 81-106
11. Liñan L., Espejo S., Domínguez-Castro R., Rodríguez-Vázquez A., ACE4K: An Analog I/O 64x64 Visual MicroProcessor Chip with 7-bit Analog Accuracy. Int. J. of Circ. Th. Appl., vol. 30, no. 2-3, (2002) 89-116
12. Kananen A., Paasio A, Laiho M, Halonen K, CNN Applications from the Hardware Point of View: Video Sequence Segmentation. Int. J. of Circ. Th. Appl., vol. 2, (2002) 117-137
13. Harrer H., Nossek J.A., Discrete-time Cellular Neural Networks., Int. J. of Circ. Th. Appl., vol. 20, (1992) 453-467
14. Roska T., Kék L., Nemes L., Zarándy À., Szolgay P., CSL-CNN Software Library, Version 7.3. Hungarian Academy of Sciences, Budapest, Hungary, (1999)
15. Kosko B., Neural Fuzzy Systems, Prentice Hall Englewood Cliffs, NJ, (1992)
16. Quinlan J.R., Induction of decision trees, IEEE Trans. Circuits and Systems - II, Analog and Digital Signal Processing, vol. 40, no. 3, (1993) 163-173
17. Aamodt A., Plaza E., Case-Based Reasoning Foundational Issues, Methodological Variations, and System Approaches, AI Communications, vol. 7(1), (1994) 39-59
18. Riesbeck C.K., Schank R.C., Inside Case-Based Reasoning, Lawrence Erlbaum Associates, Hillsdale, NJ, US, (1989)
19. Kolodner J., Case-Based Reasoning, Morgan Kaufmann Publishers, Inc., (1993)
20. López García J.C., Moreno-Armendáriz M.A., Riera-Baburés Jordi, Vilasís-Cardona X., Real-Time Vision by FPGA Implemented CNNs, ECCTD '05 Proc., Cork, Ireland, (2005)