DSP based and implementation of image guidance

• Main Authors: Shih-Wei Hsu, 許士威
• Other Authors: Leh Luoh
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/78549726713895902261

碩士 === 中華大學 === 電機工程學系(所) === 97 === The purpose of this thesis is to develop a image-based intelligent automatic guided vehicle system, which utilizes CCD camera to capture the road image. The automatic guided vehicles started use in 1950 and it is divided into three parts in the related research, which are the environment information acquisition, feature extraction as well as the guiding and navigation strategy. This thesis is based on a CCD image collection module and TMS320C6416 high-order VLIW digital signal processor of Texas Instrument to implement a image-based intelligent automatic guided vehicle system platform which sets upon the model car. The phantom sensation part uses Hough transformation to promote the edge of pavement identification robust, the navigation strategy is to use the information of edge of pavement material, and design the chassis control principle. This paper has established a set of image guidance system and materially applied in the TMS320C6416 digital signal processors, then does the experiment again by taking eight different scenes in order to prove the efficiency of real time software and hardware process developed by this research.