¶óÆæÆ®¦¢Ä«Æä¦¢ºí·Î±×¦¢´õº¸±â
¾ÆÄ«µ¥¹Ì Ȩ ¸í»çƯ°­ ´ëÇבּ¸½Ç޹æ Á¶°æ½Ç¹« µ¿¿µ»ó°­ÀÇ Çѱ¹ÀÇ ÀüÅëÁ¤¿ø ÇÐȸº° ³í¹®
ÇÐȸº° ³í¹®

Çѱ¹°Ç¼³°ü¸®ÇÐȸ
Çѱ¹°ÇÃà½Ã°øÇÐȸ
Çѱ¹µµ·ÎÇÐȸ
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
Çѱ¹»ýÅÂÇÐȸ
Çѱ¹¼öÀÚ¿øÇÐȸ
Çѱ¹½Ä¹°ÇÐȸ
Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ
Çѱ¹ÀÚ¿ø½Ä¹°ÇÐȸ
Çѱ¹ÀܵðÇÐȸ
Çѱ¹Á¶°æÇÐȸ
Çѱ¹Áö¹Ý°øÇÐȸ
Çѱ¹ÇÏõȣ¼öÇÐȸ
Çѱ¹È¯°æ»ý¹°ÇÐȸ
Çѱ¹È¯°æ»ýÅÂÇÐȸ

Çѱ¹°Ç¼³°ü¸®ÇÐȸ / v.10, no.2, 2009³â, pp.145-154
Áö¹ÝÇü»ó 3Â÷¿ø ¸ðµ¨¸µÀ» À§ÇÑ ½ºÅ×·¹¿À ºñÀü ¿µ»óÀÇ ³ëÀÌÁî Á¦°Å ¾Ë°í¸®Áò °³¹ß
( Development of the Noise Elimination Algorithm of Stereo-Vision Images for 3D Terrain Modeling )
À¯Çö¼®;±è¿µ¼®;Çѽ¿ì; ÀÎÇÏ´ëÇб³ °ÇÃà°øÇаú ´ëÇпø;ÀÎÇÏ´ëÇб³ °ÇÃà°øÇаú;ÀÎÇÏ´ëÇб³ °ÇÃà°øÇаú;
 
ÃÊ ·Ï
ÀÛ¾÷ȯ°æ ÁÖº¯ÀÇ »ç¹°(target object)À» ÀÚµ¿À¸·Î ÀνÄÇÏ°í ±× °á°ú¸¦ È¿°úÀûÀ¸·Î ¸ðµ¨¸µÇÏ´Â ±â¼úÀº ÀÛ¾÷ ǰÁú, »ý»ê¼º µî °³¹ß ÀåºñÀÇ ¼º´É(performance)¿¡µµ Áö´ëÇÑ ¿µÇâÀ» ¹ÌÄ¡°Ô µÇ¹Ç·Î ÀÌ´Â °Ç¼³ÀÚµ¿È­ Àåºñ¸¦ °³¹ßÇÔ¿¡ ÀÖ¾î ÇʼöÀûÀ¸·Î ¿ä±¸µÇ´Â ÇÙ½É ¿ä¼Ò±â¼úÀÌ´Ù. ÇöÀç ±¹³»¿¡¼­´Â 2006³âºÎÅÍ Áö´ÉÇü ±¼»è ·Îº¿(intelligent robotic excavator)ÀÇ °³¹ßÀ» À§ÇÏ¿© Åä°ø ÀÛ¾÷ȯ°æÀ» ´ë»óÀ¸·Î ½ºÅ×·¹¿À ºñÀüÀ» Ȱ¿ëÇÏ¿© ±¼»è ·Îº¿ ÁÖº¯ ¿µ¿ªÀÇ Áö¹ÝÇü»óÀ» 3Â÷¿øÀ¸·Î ¸ðµ¨¸µÇϱâ À§ÇÑ ±â¼úÀ» °³¹ßÇϰí ÀÖ´Ù. º» ¿¬±¸ÀÇ ¸ñÀûÀº ½ÇÁ¦ Åä°ø ÀÛ¾÷ȯ°æÀ» 3Â÷¿øÀ¸·Î ¸ðµ¨¸µÇÏ´Â °úÁ¤¿¡¼­ ÇÊ¿¬ÀûÀ¸·Î ¹ß»ýµÇ´Â ½ºÅ×·¹¿À ¸ÅĪ ³ëÀÌÁ È¿°úÀûÀ¸·Î Á¦°ÅÇϱâ À§ÇÏ¿© ´Ù¾çÇÑ Åä°øÀÛ¾÷ ȯ°æ ¿ä¼Ò°¡ Æ÷ÇÔµÈ ½ºÅ×·¹¿À ¿µ»óÀ» ¼öÁýÇϰí Åä°ø ÀÛ¾÷ ȯ°æÀÇ 3Â÷¿ø ¸ðµ¨¸µ¿¡ ÀûÇÕÇÑ ³ëÀÌÁî Á¦°Å ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÏ´Â °ÍÀÌ´Ù. º» ¿¬±¸¸¦ ÅëÇØ °³¹ßµÈ µðÁöÅÐ ¿µ»óó¸® ±â¼úÀº Åä°ø ÀÛ¾÷ȯ°æÀ» ´ë»óÀ¸·Î ÁÖº¯À» ÀÚµ¿ ÀνÄÇϰí ÃßÃâÇϰíÀÚ ÇÏ´Â °ü½ÉÀÇ ´ë»óÀ» 3Â÷¿øÀ¸·Î ¸ðµ¨¸µÇØ¾ß ÇÏ´Â ±¼»è±â ÀÌ¿ÜÀÇ ÀÚµ¿È­ Àåºñ °³¹ß¿¡ À־µµ ÀÀ¿ë¼ºÀÌ ¸Å¿ì Ŭ °ÍÀ¸·Î ±â´ëµÈ´Ù.
For developing an Automation equipment in construction, it is a key issue to develop 3D modeling technology which can be used for automatically recognizing environmental objects. Recently, for the development of "Intelligent Excavating System(IES), a research developing the real-time 3D terrain modeling technology has been implemented from 2006 in Korea and a stereo vision system is selected as the optimum technology. However, as a result of performance tests implemented in various earth moving environment, the 3D images obtained by stereo vision included considerable noise. Therefore, in this study, for getting rid of the noise which is necessarily generated in stereo image matching, the noise elimination algorithm of stereo-vision images for 3D terrain modeling was developed. The consequence of this study is expected to be applicable in developing an automation equipments which are used in field environment.
 
Ű¿öµå
½ºÅ×·¹¿À ºñÀü;³ëÀÌÁî Á¦°Å;Áö¹ÝÇü»ó ¸ðµ¨¸µ;Áö´ÉÇü ±¼»è½Ã½ºÅÛ;Stereo-Vision;Noise Elimination;Terrain Modeling;Intelligent Excavating System;
 
Çѱ¹°Ç¼³°ü¸®ÇÐȸ³í¹®Áý / v.10, no.2, 2009³â, pp.145-154
Çѱ¹°Ç¼³°ü¸®ÇÐȸ
ISSN : 2005-6095
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200912651521457)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
¸ñ·Ïº¸±â
ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

ÇÏÀ§¹è³ÊÀ̵¿