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Ç¥ÁعøÈ£ TTAK.KO-10.1498-Part1 ±¸Ç¥ÁعøÈ£
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¿µ¹®Ç¥Áظí AI Learning Data for Automated Vehicle - Part 1: General Requirements
Çѱ۳»¿ë¿ä¾à ÀÌ Ç¥ÁØ¿¡¼­´Â AI ÇнÀ¿ë µ¥ÀÌÅÍ ±¸Ãà ´Ü°èº°(µ¥ÀÌÅÍ ¼öÁý, µ¥ÀÌÅÍ Á¤Á¦, µ¥ÀÌÅÍ ¶óº§¸µ, µ¥ÀÌÅÍ °ËÁõ) ±âº» ¿øÄ¢°ú ÀÏ¹Ý ¿ä±¸»çÇ×À» ±ÔÁ¤ÇÑ´Ù. ¼öÁý½Ã½ºÅÛ(Â÷·®)ÀÇ ¿ä±¸»çÇ×, ½Ã³ª¸®¿À ¶óº§¸µ ¿ä±¸»çÇ×, ¼¾¼­ À¶ÇÕ Á¤º¸ È°¿ëÀ» À§ÇÑ ¿ä±¸»çÇ×, ºñ½Äº°È­ ¿ä±¸»çÇ×, µ¥ÀÌÅÍ ¶óº§¸µ ¿ä±¸»çÇ×, °ËÁõ ¿ä±¸»çÇ×À» Æ÷ÇÔÇÑ´Ù. º» Ç¥ÁØÀº ÀÚÀ²ÁÖÇà AI ÇнÀ¿ë µ¥ÀÌÅÍ ±¸Ãà ´Ü°è¿¡ Àû¿ëµÉ ¼ö ÀÖ´Ù.
¿µ¹®³»¿ë¿ä¾à The standard specifies the basic principles and general requirements for each step of data construction for AI training (data collection, data refinement, data labeling, and data validation). It includes requirements for collection systems (vehicle), scenario labeling requirements, requirements for utilizing sensor fusion information, de-identification requirements, data labeling requirements, and verification requirements. This standard can be applied to the data construction phase for automated driving AI training.
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