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		<title>Northcote et al 2018a - Revision history</title>
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		<updated>2026-04-30T20:00:01Z</updated>
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		<title>Scipediacontent: Scipediacontent moved page Draft Content 978053331 to Northcote et al 2018a</title>
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				<updated>2021-02-01T22:22:51Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_978053331&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 978053331&quot;&gt;Draft Content 978053331&lt;/a&gt; to &lt;a href=&quot;/public/Northcote_et_al_2018a&quot; title=&quot;Northcote et al 2018a&quot;&gt;Northcote et al 2018a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 22:22, 1 February 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Northcote_et_al_2018a&amp;diff=198813&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  The Line Hough Transform (LHT) is a robust and accurate line detection algorithm, useful for applications such as lane detection in Advanced Driver Assistance...&quot;</title>
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				<updated>2021-02-01T22:22:46Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  The Line Hough Transform (LHT) is a robust and accurate line detection algorithm, useful for applications such as lane detection in Advanced Driver Assistance...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
The Line Hough Transform (LHT) is a robust and accurate line detection algorithm, useful for applications such as lane detection in Advanced Driver Assistance Systems. For real-time implementation, the LHT is demanding in terms of computation and memory, and hence Field Programmable Gate Arrays (FPGAs) are often deployed. However, many small FPGAs are incapable of implementing the LHT due to the large memory requirement of the Hough Parameter Space (HPS). This paper presents a memory-efficient architecture of the LHT named the Angular Regions — Line Hough Transform (AR-LHT). We present a suitable FPGA implementation of the AR-LHT and provide a performance and resource analysis after targeting a Xilinx xc7z010-1 device. Results demonstrate that, for an image of 1024×1024 pixels, approximately 48% less memory is used than the Standard LHT. The FPGA architecture is capable of processing a single image in 9.03ms.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [https://strathprints.strath.ac.uk/63250/1/Northcote_etal_ISCAS2018_FPGA_implementation_of_a_memory_efficient_Hough_Parameter_Space.pdf https://strathprints.strath.ac.uk/63250/1/Northcote_etal_ISCAS2018_FPGA_implementation_of_a_memory_efficient_Hough_Parameter_Space.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/8334884/8350884/08351115.pdf?arnumber=8351115 http://xplorestaging.ieee.org/ielx7/8334884/8350884/08351115.pdf?arnumber=8351115],&lt;br /&gt;
: [http://dx.doi.org/10.1109/iscas.2018.8351115 http://dx.doi.org/10.1109/iscas.2018.8351115]&lt;br /&gt;
&lt;br /&gt;
* [https://dblp.uni-trier.de/db/conf/iscas/iscas2018.html#NorthcoteCM18 https://dblp.uni-trier.de/db/conf/iscas/iscas2018.html#NorthcoteCM18],&lt;br /&gt;
: [https://strathprints.strath.ac.uk/63250 https://strathprints.strath.ac.uk/63250],&lt;br /&gt;
: [https://ieeexplore.ieee.org/document/8351115 https://ieeexplore.ieee.org/document/8351115],&lt;br /&gt;
: [https://pureportal.strath.ac.uk/en/publications/fpga-implementation-of-a-memory-efficient-hough-parameter-space-f https://pureportal.strath.ac.uk/en/publications/fpga-implementation-of-a-memory-efficient-hough-parameter-space-f],&lt;br /&gt;
: [https://doi.org/10.1109/ISCAS.2018.8351115 https://doi.org/10.1109/ISCAS.2018.8351115],&lt;br /&gt;
: [https://core.ac.uk/display/151397291 https://core.ac.uk/display/151397291],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2785363052 https://academic.microsoft.com/#/detail/2785363052]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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