{"id":35342,"date":"2022-05-30T15:30:04","date_gmt":"2022-05-30T12:30:04","guid":{"rendered":"https:\/\/kutaybilen.com.tr\/?p=35342"},"modified":"2022-05-30T15:30:04","modified_gmt":"2022-05-30T12:30:04","slug":"iphone-12-proda-bulunan-lidar-sensorler-nasil-calisir","status":"publish","type":"post","link":"https:\/\/kutaybilen.com.tr\/?p=35342","title":{"rendered":"iPhone 12 Pro&#8217;da Bulunan LiDAR Sens\u00f6rler Nas\u0131l \u00c7al\u0131\u015f\u0131r?"},"content":{"rendered":"<p>2020&#8217;nin birinci \u00e7eyre\u011finde son kullan\u0131c\u0131 ile tan\u0131\u015ft\u0131r\u0131lan <strong>iPad Pro<\/strong>, tablet s\u0131n\u0131f\u0131n\u0131n doru\u011funa oturdu. Akabinde bir \u00f6zelli\u011fini iPhone 12 Pro ailesine miras b\u0131rakt\u0131: <strong>LiDAR<\/strong>. iPhone 12 Pro&#8217;da da kar\u015f\u0131m\u0131za \u00e7\u0131kt\u0131\u011f\u0131n\u0131 g\u00f6r\u00fcyoruz. Apple bu sens\u00f6r\u00fc kullan\u0131rken sundu\u011fu tecr\u00fcbelerde; daha s\u00fcratli odaklanma ve algoritmalar\u0131yla g\u00fc\u00e7lendirilmi\u015f daha g\u00fc\u00e7l\u00fc bir art\u0131r\u0131lm\u0131\u015f ger\u00e7eklik sa\u011flamakta.<\/p>\n<p>Daha evvel hi\u00e7 bulunmad\u0131\u011f\u0131n\u0131z bir yerde oldu\u011funuzu d\u00fc\u015f\u00fcn\u00fcn. Nereye hakikat, nas\u0131l gidece\u011finizi bilmeniz s\u0131k\u0131nt\u0131, de\u011fil mi? Bir haritaya, rehbere gereksiniminiz var demektir. Etraf\u0131n\u0131zdaki t\u00fcm cisimlerin bulundu\u011funuz yere olan aral\u0131klar\u0131yla, y\u00fckseklikleriyle, e\u011fimleriyle bulundu\u011funuz yeri anlayabilece\u011finiz bir haritaya, <strong>\u0131\u015f\u0131klar kapansa bile g\u00f6z\u00fcn\u00fcz olacak bir haritaya<\/strong>&#8230;<\/p>\n<p><b>LiDAR nedir?<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/08949a0492f12c14b483a27770474ddcdb23b2d9.jpeg\"\/><\/p>\n<p>Mimarl\u0131k, kent planlamas\u0131, arkeoloji hafriyatlar\u0131, otonom ara\u00e7lar, haritaland\u0131rma, robotik sistemler, orman ve su alt\u0131 ara\u015ft\u0131rmalar\u0131 \u00fczere bir \u00e7ok alanda kullan\u0131lan LiDAR, hedeflenen yerin, iste\u011fe nazaran 3 ya da 2 boyutlu haritaland\u0131rmas\u0131n\u0131 yapmak i\u00e7in kullan\u0131lan bir sens\u00f6rd\u00fcr. A\u00e7\u0131l\u0131m\u0131 <em>Light Detection and Ranging<\/em> yahut <em>Laser Imaging Detection and Ranging <\/em>bi\u00e7imindedir, T\u00fcrk\u00e7e&#8217;ye<em> I\u015f\u0131k Tespiti ve Ara \u00d6l\u00e7\u00fcm Sens\u00f6r\u00fc <\/em>halinde \u00e7evirilebilir.<\/p>\n<p><b>LiDAR nas\u0131l \u00e7al\u0131\u015f\u0131r?<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/2d7f6c7667b8eab74b2455bff2cdf10bcf182dc4.jpeg\"\/><\/p>\n<p>LiDAR, \u0131\u015f\u0131k dalgalar\u0131yla \u00f6l\u00e7\u00fcm yapabilen bir sens\u00f6r cinsidir. Genelde y\u00fczey temelli LiDAR sistemlerinde 500 nanometre ile 600 nanometre dalga uzunlu\u011funa sahip lazerler kullan\u0131l\u0131r. Airborne LiDAR sistemlerinde ise 1000 nanometre ile 1600 nanometre dalga uzunlu\u011funa sahip lazerler kullan\u0131lmaktad\u0131r.<\/p>\n<p>Dalga uzunluklar\u0131 ortas\u0131nda bulunan bu fark\u0131 \u015f\u00f6yle a\u00e7\u0131klayabiliriz: Sabit boyutlarda dalga \u00fcretimi olan bir dalga havuzu d\u00fc\u015f\u00fcnelim. \u0130ki dalgan\u0131n zirve noktalar\u0131 yani en y\u00fcksek oldu\u011fu noktalar ortas\u0131nda ki ara dalga uzunlu\u011fu olarak tan\u0131mlanabilir.<\/p>\n<p>\u0130ki dalga ortas\u0131 aral\u0131k ne kadar b\u00fcy\u00fcrse, dalgalar\u0131n boyuda o kadar b\u00fcy\u00fck olur. Fakat bu durum frekans ile yani tekrarlanma say\u0131s\u0131 ile z\u0131t orant\u0131l\u0131d\u0131r. LiDAR i\u00e7inde ge\u00e7erli olan dalga uzunlu\u011fu kavram\u0131 burada de\u011fer kazanmaktad\u0131r. Dalga uzunlu\u011fu k\u00fc\u00e7\u00fcld\u00fck\u00e7e g\u00f6nderilen dalga say\u0131s\u0131 artacakt\u0131r. Bu da <strong>daha fazla \u00f6rnekleme almaya<\/strong> yard\u0131mc\u0131 olacak, dolay\u0131s\u0131 ile taramalar daha ayr\u0131nt\u0131l\u0131 olacakt\u0131r.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/98f7c17f49b1155e0ba71b36d6593c669ef5e9c8.jpeg\"\/><\/p>\n<p>LiDAR sens\u00f6r taraf\u0131ndan yay\u0131lan lazer \u0131\u015f\u0131nlar\u0131, bir cisme yahut y\u00fczeye \u00e7arpar ve sens\u00f6re geri d\u00f6ner. Sens\u00f6r, g\u00f6nderdi\u011fi lazer \u0131\u015f\u0131nlar\u0131n\u0131n geri d\u00f6n\u00fc\u015f m\u00fcddetine nazaran \u00e7arpt\u0131\u011f\u0131 y\u00fczeyin yahut cismin uzakl\u0131\u011f\u0131n\u0131 \u00f6l\u00e7ebilir. Lakin bu \u00f6l\u00e7\u00fcm noktasald\u0131r. Yani sens\u00f6r tek bir bilgiyle haritalama yahut sim\u00fclasyon olu\u015fturma s\u00fcrecini tamamlayamaz. Bir haritalama yahut sim\u00fclasyon olu\u015fturabilmesi i\u00e7in bir data dizini gerekmektedir. Yani<strong> sens\u00f6r tekraren tarama yapmal\u0131d\u0131r<\/strong>.<\/p>\n<p>Tekraren al\u0131nan sens\u00f6r datalar\u0131n\u0131 manaland\u0131rmak i\u00e7in ise farkl\u0131 algoritmalar kullanmaktad\u0131r. Bu formda haritaland\u0131rma s\u00fcreci tamamlanmaktad\u0131r ve bu s\u00fcre\u00e7 SLAM olarak isimlendirilir. SLAM (Simultaneous Localization and Mapping) yani T\u00fcrk\u00e7e manas\u0131yla<strong> E\u015f Vakitli Pozisyon Belirleme ve Haritalama<\/strong> manas\u0131na gelir ve LiDAR&#8217;lar i\u00e7in geli\u015ftirilen bir algoritma tipidir.<\/p>\n<p>LiDAR&#8217;dan gelen bilgileri i\u015fler ve manal\u0131 hale getirir. B\u00f6ylelikle LiDAR&#8217;\u0131n bulundu\u011fu pozisyonun haritas\u0131n\u0131 \u00e7\u0131kartabilece\u011fi \u00fczere, LiDAR yahut LiDAR kullan\u0131lm\u0131\u015f sistem yer de\u011fi\u015ftirdi\u011fi vakit <strong>etraf\u0131nda olan t\u00fcm de\u011fi\u015fiklikleri<\/strong> de alg\u0131layabilir. Bu \u00f6zelli\u011fi sayesinde ise art\u0131ml\u0131 olarak haritaland\u0131rma yapabilir.<\/p>\n<p><b>LiDAR&#8217;lar\u0131n \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayan SLAM algoritmas\u0131 da kendi i\u00e7erisinde farkl\u0131 \u00e7e\u015fitlere sahiptir:<\/b><\/p>\n<ul>\n<li>Hector SLAM<\/li>\n<li>Gmapping<\/li>\n<li>Karto<\/li>\n<li>Frontier Exploration<\/li>\n<\/ul>\n<p>Bu algoritmalar kullan\u0131m yer ve alanlar\u0131na nazaran de\u011fi\u015fiklik g\u00f6stermektedirler. Bunun i\u00e7in s\u00fcrat ya da tarama \u00fczere testler uyguland\u0131\u011f\u0131nda birbirine nazaran \u00e7ok d\u00fc\u015f\u00fck ve y\u00fcksek performanslar sergileyebilirler.<\/p>\n<p><b>Pekala LiDAR sens\u00f6rden al\u0131nan datalar nas\u0131l g\u00f6rselle\u015ftirilir?<\/b><\/p>\n<p>Art\u0131k ise manal\u0131 datalar\u0131 g\u00f6r\u00fcnt\u00fcleyebilece\u011fimiz bir ortama ta\u015f\u0131mam\u0131z gerekmekte. Bunun i\u00e7in kullan\u0131lan sim\u00fclasyon ortamlar\u0131 ise <strong>Rviz<\/strong> ve <strong>Gazebo<\/strong> olarak ge\u00e7mektedir. Bu programlar interaktif olarak \u00e7al\u0131\u015fmaktad\u0131r. Yani art\u0131msal olarak haritalama yapabilir ve en ufak bir de\u011fi\u015fikli\u011fi dahi alg\u0131layabilir.<\/p>\n<p><b>A\u015fa\u011f\u0131da ki g\u00f6rselde, LiDAR ile elde edilen datalar\u0131n anlamd\u0131r\u0131lmas\u0131 sonucu olu\u015fturulmu\u015f 2D bir harita buluyor. Burada LiDAR, anl\u0131k olarak \u00f6l\u00e7\u00fcm yapmaya devam ediyor ve etraf\u0131nda ki t\u00fcm de\u011fi\u015fiklikleri ekrana yans\u0131tabiliyor:<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/f70cc986bb06fe9d3883e4c99206746b2fdb34b6.png\"\/><\/p>\n<p><b>LiDAR Taray\u0131c\u0131 yahut LiDAR kullan\u0131lm\u0131\u015f bir sistem hareket etti\u011fi vakit, imaj de anl\u0131k olarak tarama bilgilerinin i\u015flenmesiyle sim\u00fclasyona eklenir ve canl\u0131 olarak izlenebilir:<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/e42b25303a70196897e396e0974c3e5a118cf0b1.png\"\/><\/p>\n<p>Bu sens\u00f6rler, \u00fcretim maliyeti hayli d\u00fc\u015fen ve konutlar\u0131m\u0131za kadar giren bir eser olan <strong>robot s\u00fcp\u00fcrgelerde<\/strong> de bulunmakta. Her ge\u00e7en g\u00fcn yeni \u00f6rneklerini g\u00f6rsekte temelde hepsinin \u00e7al\u0131\u015fma mant\u0131\u011f\u0131 ve algoritmas\u0131 t\u0131pk\u0131 olup, ta\u015f\u0131nabilir uygulama \u00fczerinden robotun olu\u015fturdu\u011fu haritay\u0131 g\u00f6rebiliyor, istedi\u011fimiz yere y\u00f6nlendirebiliyor ve uzaktan kumanda edebiliyoruz.<\/p>\n<p><b>LiDAR sens\u00f6rlerin kullan\u0131m alanlar\u0131:<\/b><\/p>\n<ul>\n<li>Ak\u0131ll\u0131 konut aletleri<\/li>\n<li>Robotik \u00e7al\u0131\u015fmalar ve ara\u015ft\u0131rmalar<\/li>\n<li>Ak\u0131ll\u0131 telefon ve tabletler<\/li>\n<li>Otonom ara\u00e7lar<\/li>\n<li>Kent planlama<\/li>\n<li>Tar\u0131m <\/li>\n<li>Ordu ve askeri ara\u015ft\u0131rmalar<\/li>\n<li>Irmaklar ve su alt\u0131 ara\u015ft\u0131rmalar\u0131<\/li>\n<\/ul>\n<p><b>Ak\u0131ll\u0131 konut aletleri: Robot s\u00fcp\u00fcrgeler<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/934ec0ddcc565f571ab1bba2c5c3575792a6a838.jpeg\"\/><\/p>\n<p>Kullan\u0131c\u0131lar\u0131n i\u015f y\u00fck\u00fcn\u00fc hayli hafifleten robot s\u00fcp\u00fcrgeler bulunduklar\u0131 ortam\u0131n t\u00fcm haritas\u0131n\u0131 haf\u0131zas\u0131na kaydedebilir ve istendi\u011fi vakit etkin edilebilece\u011fi \u00fczere zamanlama s\u00fcreci uygulanabilip g\u00fcn\u00fcn muhakkak saatlerinde \u00e7al\u0131\u015fmalar\u0131n\u0131 s\u00fcrd\u00fcrebilirler.<strong> Otonom olarak \u00e7al\u0131\u015f\u0131rlar.<\/strong><\/p>\n<p>LiDAR taray\u0131c\u0131lar\u0131n algoritmas\u0131 gere\u011fi interaktif olarak \u00e7al\u0131\u015fan bu robot misyonunu yaparken e\u015fyalar\u0131n yerleri de\u011fi\u015fse bile tekrar yeni bir rota belirleyebilir ve misyonuna devam edebilir. Birebir formda kullan\u0131c\u0131 robotun etraf\u0131nda bulunsa bile robot s\u00fcp\u00fcrge bunu alg\u0131layacak ve<strong> rotas\u0131n\u0131 anl\u0131k olarak de\u011fi\u015ftirebiliecektir<\/strong>.<\/p>\n<p><b>Robotik \u00e7al\u0131\u015fmalar ve ara\u015ft\u0131rmalar<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/1e40274258e308efbbc18c198e2ed92360691d91.jpeg\"\/><\/p>\n<p>\u00dcniversitelerde ve robot firmalar\u0131nda yap\u0131lan \u00e7al\u0131\u015fmalarda s\u0131k\u00e7a LiDAR taray\u0131c\u0131lar kullan\u0131lmaktad\u0131r. \u00dcniversitelerde a\u011f\u0131r olarak m\u00fchendislik k\u0131s\u0131mlar\u0131nda ve lisans \u00fcst\u00fc ara\u015ft\u0131rmalarda bu sens\u00f6rlerin kullan\u0131ld\u0131\u011f\u0131 bilinmektedir. Robot firmalar\u0131nda ise otonom robot \u00fcretiminde s\u0131k\u00e7a kullan\u0131l\u0131r. Robot i\u00e7in lokasyon tan\u0131mlamada ve haritaland\u0131rmada \u00e7ok b\u00fcy\u00fck misyon \u00fcstlenen bir sens\u00f6rd\u00fcr.<\/p>\n<p><b>Ak\u0131ll\u0131 telefon ve tabletler<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/4b2a6825f89497640f2ba08a89053a8d91f2b14b.jpeg\"\/><\/p>\n<p>\u00d6rneklerini yeni yeni g\u00f6rmeye ba\u015flad\u0131\u011f\u0131m\u0131z LiDAR Taray\u0131c\u0131 i\u00e7eren ak\u0131ll\u0131 telefon ve tabletlerde LiDAR taray\u0131c\u0131, kameralar\u0131n daha s\u00fcratli odaklanmas\u0131n\u0131 sa\u011flamaktad\u0131r. B\u00f6ylelikle foto\u011fraflardan derinlik \u00f6l\u00e7ebilmektedir. Bununla bir arada olu\u015fturulmu\u015f algoritmalarla daha <strong>g\u00fc\u00e7l\u00fc ve daha s\u00fcratli bir art\u0131r\u0131lm\u0131\u015f ger\u00e7eklik<\/strong> <strong>tecr\u00fcbesi<\/strong> sunmaktad\u0131r.<\/p>\n<p><b>Otonom ara\u00e7lar<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/ee08c2fbdacd44916bf1316ab3a8b99afa316aab.jpeg\"\/><\/p>\n<p>Trafikte her ge\u00e7en g\u00fcn say\u0131s\u0131 artan otonom ara\u00e7lar\u0131n bir bir\u00e7oklar\u0131nda da LiDAR Taray\u0131c\u0131lar\u0131n oldu\u011funu g\u00f6r\u00fcyoruz. Otonom ara\u00e7larda LiDAR taray\u0131c\u0131lar, anl\u0131k olarak etraf\u0131nda bulunan t\u00fcm ara\u00e7lar\u0131, yayalar\u0131 ve \u00e7evresel etmenleri alg\u0131lay\u0131p anlamland\u0131rabilir ve i\u00e7erisinde bulunan <strong>yolcuyu inan\u00e7ta tutmak i\u00e7in<\/strong> rotas\u0131n\u0131 bu bilgilere nazaran tayin eder. <\/p>\n<p><b>Kent planlama<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/834fdb95d8fef4054571bb1b02ffcfcb62588e37.jpeg\"\/><\/p>\n<p>Kentlerde bulunan t\u00fcm binalar, a\u011fa\u00e7lar, t\u00fcmsekler, \u00e7ukurlar ve be\u015ferler \u00fczere bir \u00e7ok etken kentsel ekosistemleri olu\u015fturmaktad\u0131r. Bu <strong>kentsel ekosistemleri <\/strong>ayr\u0131nt\u0131l\u0131 bir halde haritaland\u0131rmak, kent planlamac\u0131lara ve harita m\u00fchendislerine yard\u0131mc\u0131 olmaktad\u0131r. <\/p>\n<p><b>Tar\u0131m<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/01a039c3495d985715ee825acce03413943aaf7e.jpeg\"\/><\/p>\n<p>LiDAR taray\u0131c\u0131lar, makul bir arazinin \u00fc\u00e7 boyutlu y\u00fckseklik haritas\u0131n\u0131 olu\u015fturmak i\u00e7in kullan\u0131labilir. Bu haritalar sayesinde arazi \u00fczerinde bulunan e\u011fimler, g\u00fcne\u015f \u0131\u015f\u0131\u011f\u0131 alabilecek yerler, r\u00fczgardan etkilenebilecek y\u00fczeyler belirlenebilmektedir ve <strong>tar\u0131ma elveri\u015fli yerlerin testleri<\/strong> bu halde y\u00fcr\u00fct\u00fclebilmektedir.<\/p>\n<p><b>Ordu ve askeri ara\u015ft\u0131rmalar<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/1fb11675cafb40284ff61045404a77c55404741d.jpeg\"\/><\/p>\n<p>Askeri birlikler taraf\u0131ndan araziyi manaland\u0131rmak, y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fc haritalar olu\u015fturmak i\u00e7in kullan\u0131lmakla bir arada harp b\u00f6lgelerini ayr\u0131nt\u0131l\u0131 incelemek i\u00e7in <strong>LiDAR taray\u0131c\u0131 i\u00e7eren robotlar<\/strong> kullan\u0131lmaktad\u0131r.<\/p>\n<p><b>Irmaklar ve su alt\u0131 ara\u015ft\u0131rmalar\u0131<\/b><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.webtekno.com\/images\/editor\/default\/0002\/94\/1456df6e7eec48b19c7d34bac2c36880387cd773.jpeg\"\/><\/p>\n<p>LiDAR taray\u0131c\u0131lar ile sualt\u0131nda bulunan her \u015feyi tan\u0131mlamak ve \u00fc\u00e7 boyutlu haritas\u0131n\u0131 \u00e7\u0131karmak i\u00e7in kullan\u0131lmaktad\u0131r. Bu sayede <strong>derinlik, geni\u015flik ve suyun ak\u0131\u015f surat\u0131<\/strong> \u00f6l\u00e7\u00fclebilmektedir.<\/p>\n<p>Konutlar\u0131m\u0131za ve hatta cebimize kadar giren bu teknoloji uzun y\u0131llard\u0131r bir\u00e7ok farkl\u0131 alanda kullan\u0131lmakta ve kullan\u0131m alan\u0131na nazaran de b\u00fcy\u00fck felaketlere kar\u015f\u0131 tedbir almam\u0131z\u0131 sa\u011flayabilmektedir. Geli\u015fen teknolojiyle bir arada kullan\u0131m\u0131n\u0131n yayg\u0131nla\u015fmas\u0131 ve <strong>daha s\u0131k rastlamam\u0131z<\/strong> \u00f6ng\u00f6r\u00fclmektedir.<\/p>\n<div> <\/div>\n","protected":false},"excerpt":{"rendered":"<p>2020&#8217;nin birinci \u00e7eyre\u011finde son kullan\u0131c\u0131 ile tan\u0131\u015ft\u0131r\u0131lan iPad Pro, tablet s\u0131n\u0131f\u0131n\u0131n doru\u011funa oturdu. Akabinde bir \u00f6zelli\u011fini iPhone 12 Pro &#8230;<\/p>\n","protected":false},"author":1,"featured_media":35343,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[851],"tags":[5451,1187,5452,1137,882],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=\/wp\/v2\/posts\/35342"}],"collection":[{"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=35342"}],"version-history":[{"count":1,"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=\/wp\/v2\/posts\/35342\/revisions"}],"predecessor-version":[{"id":35344,"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=\/wp\/v2\/posts\/35342\/revisions\/35344"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=\/wp\/v2\/media\/35343"}],"wp:attachment":[{"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=35342"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=35342"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kutaybilen.com.tr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=35342"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}