DocumentCode :
577714
Title :
Application research of neural networks in fruit and vegetable harvesting robot
Author :
Wu, Weirong ; Ding, Shenping ; Lv, Jidong
Author_Institution :
Mechatron. Eng. Dept., Suzhou Ind. Park Inst. of Vocational Technol., Suzhou, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
1790
Lastpage :
1795
Abstract :
Neural networks was used in the camera calibration of binocular stereo vision, segmentation and recognition of fruit or vegetable images, fruit or vegetable classification, orientation error amendment of fruit or vegetable, obstacle avoidance of robot manipulator, sensor data fusion about fruit and vegetable harvesting robot. The research results in all the aspects mentioned above of fruit and vegetable harvesting robot with neural networks were introduced in this article, and some the highlighted issues were finally discussed. It is expected that this research may be used as a step stone for further study in the area.
Keywords :
agricultural machinery; agricultural products; agriculture; collision avoidance; image classification; image segmentation; manipulators; neural nets; sensor fusion; stereo image processing; binocular stereo vision; camera calibration; fruit classification; fruit harvesting robot; fruit image recognition; fruit image segmentation; neural network; obstacle avoidance; orientation error amendment; robot manipulator; sensor data fusion; vegetable classification; vegetable harvesting robot; vegetable image segmentation; Calibration; Cameras; Computers; Neural networks; Robot sensing systems; Stereo vision; Camera calibration; Data fusion; Error correction; Fruit classification; Harvesting robot; Image processing; Neural network; Obstacle avoidance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358167
Filename :
6358167
Link To Document :
بازگشت