DocumentCode
233871
Title
Design and application of routing extraction algorithm based on dynamic threshold
Author
Ping Sun ; Weihua Huang ; Li Wang
Author_Institution
Sch. of Inf. Sci. & Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2014
fDate
28-30 July 2014
Firstpage
984
Lastpage
989
Abstract
A dynamic threshold algorithm of routing image was designed to improve the robustness and instantaneity of vehicle routing information extraction, based on the histogram partition threshold and gradient detection threshold. Firstly, the routing image is binarized by segmentation image, and then the navigation routing is extracted to obtain the classification of navigation routing, according to the continuity of routing image. Finally, a visual navigation control system of four wheels intelligent vehicle is realized with PID controller to manifest the effect of the presented routing extraction algorithm. The experiment results show that the intelligent vehicle system can track the routing exactly, and the whole speed is improved.
Keywords
gradient methods; image classification; image segmentation; mobile robots; remotely operated vehicles; robot vision; three-term control; vehicle routing; PID controller; dynamic threshold; dynamic threshold algorithm; four wheels intelligent vehicle; gradient detection threshold; histogram partition threshold; image segmentation; navigation routing classification; routing image; unmanned vehicle; vehicle routing information extraction; visual navigation control system; Algorithm design and analysis; Heuristic algorithms; Image edge detection; Intelligent vehicles; Navigation; Routing; Vehicle dynamics; Dynamic threshold; Intelligent vehicle; PID control; Routing extraction; Visual navigation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6896761
Filename
6896761
Link To Document