The Implementation of Lane Detection Recognition By SOPC Platform

碩士 === 長庚大學 === 電子工程學系 === 100 === In this paper, we use a SOPC Platform, which includes 5 mega pixel CMOS camera package and 4.3 inch LCD touch panel module, to verify the performance of lane detecting recognition. The SOPC design and implementation are carried out by a SOPC builder, which is gener...

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Main Authors: Yu Zen Chen, 陳煜仁
Other Authors: M. J. Jeng
Format: Others
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/64465550625586515378
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spelling ndltd-TW-100CGU054280102016-04-04T04:16:56Z http://ndltd.ncl.edu.tw/handle/64465550625586515378 The Implementation of Lane Detection Recognition By SOPC Platform 使用可程式化系統晶片平台執行車道偵測辨識之研究 Yu Zen Chen 陳煜仁 碩士 長庚大學 電子工程學系 100 In this paper, we use a SOPC Platform, which includes 5 mega pixel CMOS camera package and 4.3 inch LCD touch panel module, to verify the performance of lane detecting recognition. The SOPC design and implementation are carried out by a SOPC builder, which is generated by Quartus II Software includes a NIOS II Processor, an image transmission channel, a SDRAM Controller, a JTAG UART module and a few parallel I/O interfaces. To construct the real-time image transmission channel, we design two Avalon-MM master ports on input and output interfaces to connect with the slave port of SDRAM Controller. This design hardware channel can initiate data transferring by itself. Further, NIOS II Processor can access SDRAM randomly and do the lane detecting algorithm processing simultaneously. The lane detecting recognition system is implemented by hardware and software co-design successfully. The experimental results exhibit the processing speed of only 6~7 frames per second. It can be attributed to the speed limitation of SOPC platform, Altera DE2-70, which the maximum system clock is restricted to 150 MHz. One can use more advanced hardware platform (For example, the system clock of 500MHz) and high speed DDRRAM. The processing speed of 20 frames per second will be achieved by this proposed design. M. J. Jeng 鄭明哲 2012 學位論文 ; thesis 68
collection NDLTD
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sources NDLTD
description 碩士 === 長庚大學 === 電子工程學系 === 100 === In this paper, we use a SOPC Platform, which includes 5 mega pixel CMOS camera package and 4.3 inch LCD touch panel module, to verify the performance of lane detecting recognition. The SOPC design and implementation are carried out by a SOPC builder, which is generated by Quartus II Software includes a NIOS II Processor, an image transmission channel, a SDRAM Controller, a JTAG UART module and a few parallel I/O interfaces. To construct the real-time image transmission channel, we design two Avalon-MM master ports on input and output interfaces to connect with the slave port of SDRAM Controller. This design hardware channel can initiate data transferring by itself. Further, NIOS II Processor can access SDRAM randomly and do the lane detecting algorithm processing simultaneously. The lane detecting recognition system is implemented by hardware and software co-design successfully. The experimental results exhibit the processing speed of only 6~7 frames per second. It can be attributed to the speed limitation of SOPC platform, Altera DE2-70, which the maximum system clock is restricted to 150 MHz. One can use more advanced hardware platform (For example, the system clock of 500MHz) and high speed DDRRAM. The processing speed of 20 frames per second will be achieved by this proposed design.
author2 M. J. Jeng
author_facet M. J. Jeng
Yu Zen Chen
陳煜仁
author Yu Zen Chen
陳煜仁
spellingShingle Yu Zen Chen
陳煜仁
The Implementation of Lane Detection Recognition By SOPC Platform
author_sort Yu Zen Chen
title The Implementation of Lane Detection Recognition By SOPC Platform
title_short The Implementation of Lane Detection Recognition By SOPC Platform
title_full The Implementation of Lane Detection Recognition By SOPC Platform
title_fullStr The Implementation of Lane Detection Recognition By SOPC Platform
title_full_unstemmed The Implementation of Lane Detection Recognition By SOPC Platform
title_sort implementation of lane detection recognition by sopc platform
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/64465550625586515378
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