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Ç¥ÁعøÈ£ TTAK.KO-11.0311 ±¸Ç¥ÁعøÈ£
Á¦°³Á¤ÀÏ 2022-12-07 ÃÑÆäÀÌÁö 33
ÇѱÛÇ¥Áظí ÀÚÀ²ÁÖÇà ÇнÀµ¥ÀÌÅÍ »óÈ£Àüȯ Ç°Áú °ËÁõÀ» À§ÇÑ °¡º¯Æ÷¸Ë Á¤ÀÇ
¿µ¹®Ç¥Áظí Variable format definition for quality evaluation of autonomous driving learning data
Çѱ۳»¿ë¿ä¾à ÀÌ Ç¥ÁØÀº ÀΰøÁö´É ¾Ë°í¸®Áò ÇнÀÀ» À§ÇÑ °ø°³ µ¥ÀÌÅͼ ¹× »õ·Î¿î ÇüÅÂÀÇ µ¥ÀÌÅͼµµ ¼ö¿ëÇÒ ¼ö ÀÖ´Â À¯¿¬ÇÑ ÇÁ·¹ÀÓ¿öÅ© ±¸Á¶ÀÇ °¡º¯Æ÷¸ËÀ» Á¤ÀÇÇÑ´Ù.
°¡º¯Æ÷¸ËÀº µ¥ÀÌÅÍ¿Í µ¥ÀÌÅÍ °ü·Ã Á¤º¸°¡ ÀÖ´Â Çì´õ, Å©°Ô µÎ °³ÀÇ ºÎºÐÀ¸·Î ±¸¼ºµÈ´Ù.

ù ¹ø°, ¡®°¡º¯ GT µ¥ÀÌÅÍ µð½ºÅ©¸³ÅÍ¡¯¶ó°í Á¤ÀÇÇÑ µ¥ÀÌÅÍ´Â ¡®±âº» µð½ºÅ©¸³ÅÍ Çʵå(GT Data Descriptor Field)¡¯¿Í Ãß°¡ Á¤ÀÇ°¡ °¡´ÉÇÑ ¡®È®Àå µð½ºÅ©¸³ÅÍ Çʵå(Extended Descriptor Field)¡¯·Î ±¸¼ºµÇ¾î ´Ù¾çÇÑ ÇüÅÂÀÇ µ¥ÀÌÅͼÂÀ» ¼ö¿ëÇÒ ¼ö ÀÖ´Ù.

µÎ ¹ø°, Çì´õ ºÎºÐÀº ¡®°¡º¯ GT µ¥ÀÌÅÍ µð½ºÅ©¸³ÅÍ¡¯ÀÇ µ¥ÀÌÅÍÀÇ Æ÷¸Ë ¹× ±¸Á¶¿¡ ´ëÇØ Á¤ÀÇÇÏ´Â ¡®GT µ¥ÀÌÅÍ µð½ºÅ©¸³ÅÍ Çì´õ¡¯, °´Ã¼ À§Ä¡ ¹× °¢µµ¸¦ ÅëÀÏµÈ ±âÁØÀÇ ÁÂÇ¥ÃàÀ¸·Î º¯È¯Çϱâ À§ÇÑ ¡®GT ±âÁØ ÁÂÇ¥Ãà Á¤ÀÇ Çì´õ¡¯, °´Ã¼ÀÇ Á¾·ù ¹× ºÐ·ù¸¦ À§ÇÑ ¡®ÅëÇÕ °´Ã¼ Ŭ·¡½º Á¤ÀÇ Çì´õ¡¯ µî ¼¼ °³ÀÇ ºÎºÐÀ¸·Î ±¸¼ºµÈ´Ù.
¿µ¹®³»¿ë¿ä¾à This standard defines variable formats for flexible framework structures that can accept public datasets and new format datasets for training artificial intelligence algorithms.
The variable format consists of two main parts: data and a header containing data-related information.

First, the data defined as a ¡®Standard GT Data Descriptor¡¯ consists of ¡®Basic Descriptor Field¡¯ and an ¡®Extended Descriptor Field¡¯ that can be additionally defined, and can accommodate various types of data sets.

Second, the header part contains a ¡®GT Data Descriptor Header¡¯ that defines the format and structure of the data in the ¡®Variable GT Data Descriptor¡¯, and a ¡®GT Data Descriptor Header¡¯ for converting object positions and angles to a unified reference coordinate axis. It consists of three parts: the ¡®GT Reference Axis Definition Header¡¯ and the ¡®Integrated Object Class Definition Header¡¯ for object types and classifications.
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°ü·ÃÆÄÀÏ TTAK.KO-11.0311.pdf TTAK.KO-11.0311.pdf            

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