The Research on Visual Navigation of AGV in Outdoor Environment

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Rapid and high-accuracy guidance line identification and tracking are the keys to ensure AGV’s real-time control performance. Analyzing outdoor environment under different lighting conditions, we proposed a feature extraction method which could guarantee the efficiency and stability of line recognition for different surroundings; analyzing how angular deviation and distance deviation affect AGV posture, we designed a subdivision-control tracking strategy. The results show that the algorithm has achieved effective identification and tracking with an error less than ±5cm.

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993-998

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Jiangwei Chu, Rongben Wang, Keyou Guo, Baiyuan Gu and Lei Ma: Study for Control System of a Two-Wheel Difference Speed Steering AGV Based on Machine Vision. Machinery & Electronics, Vol. 5(2002), pp.51-55. (In Chinese).

Google Scholar

[2] Lingyi Meng, Bingxin Wang, Sun'an Wang and Dehong Yu: A High Accuracy Tachometric Measurement Method of the Wheeled Mobile Platform Based on Equal Precision Technique. Applied Mechanics and Materials, Vol. 303-306(2013), pp.318-322.

DOI: 10.4028/www.scientific.net/amm.303-306.318

Google Scholar

[3] Jinhui Cai, Hui Cai, Guangxin Zhang and Zekui Zhou: Guidance Line Identification Algorithm for AGV in Complex Environment. Transactions of the Chinese Society for Agricultural Machinery, Vol. 10(2011), pp.20-24, 89. (In Chinese).

Google Scholar

[4] Dawei Liu, Jiangtao Wang, Tianyi Yan and Bingcong Chen: Research on Landmark Recognition of an AGV Based on Color Vision. Transactions of the Chinses Society for Agricultural Machinery, Vol. 4(2006), pp.87-90. (In Chinese).

Google Scholar

[5] A. H. Ismail, H. R. Ramli, M. H. Ahmad and M. H. Marhaban: Vision-based System for Line Following Mobile Robot. Industrial Electronics & Application, 2009. ISIEA 2009. IEEE Symposium on. Vol. 2, pp.642-645. IEEE, (2009).

DOI: 10.1109/isiea.2009.5356366

Google Scholar