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Multi-layer template correlation neural network for recognition of lane mark based on pipelined image processing structure

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3 Author(s)
Xiangjing An ; Dept. of Autom. Control, Nat. Univ. of Defence Technol., Changsha, China ; Wensen Chang ; Xiangdong Chen

It is one of the important tasks for a vision system to locate an autonomous land vehicle (ALV) by lane mark. In the paper, a multi-layer template correlation neural network (MTCNN) based on the pipelined image processing structure is proposed for recognition of lane mark. A structure of the MTCNN and a training algorithm are presented. In addition, a method that maps the MTCNN onto the pipelined image processor is introduced. The experiment manifests that the proposed MTCNN is very efficient for the task such as recognition of lane mark based on the pipelined image processing structure

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Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on  (Volume:3 )

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