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
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;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896761