{"id":373,"date":"2025-06-05T14:21:26","date_gmt":"2025-06-05T06:21:26","guid":{"rendered":"https:\/\/dummy.xtemos.com\/woodmart2\/furniture2\/?p=373"},"modified":"2025-12-16T21:53:41","modified_gmt":"2025-12-16T13:53:41","slug":"eyes-in-the-sky-ai-driven-vision-systems-in-next-gen-drones","status":"publish","type":"post","link":"https:\/\/www.lxbchip.com\/tr\/eyes-in-the-sky-ai-driven-vision-systems-in-next-gen-drones\/","title":{"rendered":"G\u00f6ky\u00fcz\u00fcndeki g\u00f6zler: Yeni Nesil Dronlarda Yapay Zeka G\u00fcd\u00fcml\u00fc G\u00f6r\u00fc\u015f Sistemleri"},"content":{"rendered":"
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Dronlar e\u011flence (TV \u015fovu\/film yap\u0131m\u0131), hobi ama\u00e7l\u0131 foto\u011fraf\u00e7\u0131l\u0131k ve sadece e\u011flenceli bir oyuncak olarak yayg\u0131nla\u015fm\u0131\u015ft\u0131r. Ula\u015f\u0131lmas\u0131 zor alanlara eri\u015febilme kabiliyetleri nedeniyle denetim, lojistik\/teslimat, g\u00fcvenlik ve g\u00f6zetim ile di\u011fer end\u00fcstriyel kullan\u0131m alanlar\u0131nda giderek daha fazla kullan\u0131l\u0131yorlar. Ancak, bir drone'un \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayan en kritik bile\u015fenin g\u00f6r\u00fc\u015f sistemi oldu\u011funu biliyor muydunuz? Bu konunun derinlerine inmeden \u00f6nce, dronlar\u0131n ne oldu\u011funu, \u00e7e\u015fitli uygulamalar\u0131n\u0131 ve neden pop\u00fclerliklerinin artt\u0131\u011f\u0131n\u0131 inceleyelim. Son olarak, nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 tart\u0131\u015faca\u011f\u0131z.\u00a0onsemi\u00a0<\/strong>bu inan\u0131lmaz u\u00e7an nesnelere g\u00fc\u00e7 veren g\u00f6r\u00fc\u015f sistemlerini d\u00f6n\u00fc\u015ft\u00fcr\u00fcyor.<\/p>\n

T\u00fcrler ve Uygulamalar<\/h4>\n

Dronlar, insans\u0131z hava sistemleri (UAS) olarak da adland\u0131r\u0131lan insans\u0131z hava ara\u00e7lar\u0131 (UAV) ve daha az \u00f6l\u00e7\u00fcde uzaktan kumandal\u0131 hava ara\u00e7lar\u0131d\u0131r (RPA). S\u00fcr\u00fclmeye ihtiya\u00e7 duymadan \u00e7al\u0131\u015fabilir ve \u00e7e\u015fitli sistemler kullanarak otonom olarak seyredebilirler.<\/p>\n

\u00dc\u00e7 t\u00fcr drone vard\u0131r - Sabit Kanat, Tek Rotorlu\/\u00c7ok Rotorlu ve Hibrit. Her biri farkl\u0131 bir amaca hizmet eder ve her t\u00fcr, in\u015fa edildi\u011fi ama\u00e7 ile uyumludur.<\/p>\n

Sabit Kanatlar\u00a0<\/strong>tipik olarak daha a\u011f\u0131r y\u00fck ta\u015f\u0131ma, daha uzun u\u00e7u\u015f s\u00fcreleri ve istihbarat, g\u00f6zetleme ve ke\u015fif (ISR) g\u00f6revleri, muharebe operasyonlar\u0131 ve ba\u015f\u0131bo\u015f m\u00fchimmat, haritalama ve ara\u015ft\u0131rma faaliyetlerinde kullan\u0131l\u0131r.<\/p>\n

Tekli\/\u00c7oklu Rotorlar\u00a0<\/strong>d\u00fczenli depolardan denetimlere ve hatta teslimat ara\u00e7lar\u0131na kadar uzanan \u00e7ok \u00e7e\u015fitli end\u00fcstriyel odaklarla bask\u0131n kullan\u0131ma sahiptir. Bu tiplerin amac\u0131, \u00e7ok \u00e7e\u015fitli kullan\u0131m durumlar\u0131nda kullan\u0131labildikleri ve son derece optimize edilmi\u015f elektro-mekanik \u00e7\u00f6z\u00fcmler gerektirdikleri i\u00e7in \u00e7e\u015fitlilik g\u00f6sterebilir.<\/p>\n

Hibrit Rotorlar\u00a0<\/strong>Yukar\u0131daki her iki t\u00fcr\u00fcn en iyilerini bir araya getirir ve \u00f6zellikle alan\u0131n k\u0131s\u0131tl\u0131 oldu\u011fu b\u00f6lgelerde \u00e7ok y\u00f6nl\u00fc olmas\u0131n\u0131 sa\u011flayan dikey kalk\u0131\u015f ve ini\u015f (VTOL) yetene\u011fine sahiptir. \u00c7o\u011fu teslimat dronu, bariz nedenlerden dolay\u0131 bu yeteneklerden yararlan\u0131r.<\/p>\n

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\u015eekil 1. \u0130nsans\u0131z hava ara\u00e7lar\u0131 Drone t\u00fcrleri ve uygulamalar\u0131<\/figcaption><\/figure>\n<\/div>\n

Dronlarda Hareket ve Navigasyon Sistemleri<\/h4>\n

Dronlar hareket ve navigasyon i\u00e7in ivme\u00f6l\u00e7erler, jiroskoplar ve manyetometreler (topluca atalet \u00f6l\u00e7\u00fcm birimi veya IMU olarak adland\u0131r\u0131l\u0131r), barometreler ve daha fazlas\u0131 dahil olmak \u00fczere \u00e7ok say\u0131da sens\u00f6r ta\u015f\u0131r. Optik ak\u0131\u015f (derinlik sens\u00f6rleriyle desteklenen), e\u015fzamanl\u0131 konum belirleme ve haritalama (SLAM) ve g\u00f6rsel odometri gibi \u00e7e\u015fitli algoritmalar ve teknikler kullan\u0131rlar. Bu sens\u00f6rler i\u015flevlerini iyi bir \u015fekilde yerine getirirken, uygun maliyetler ve optimum boyutlarda gerekli do\u011fruluk ve hassasiyeti elde etmekte zorlanabilirler. Bu sorun uzun u\u00e7u\u015f s\u00fcrelerinde daha da a\u011f\u0131rla\u015farak pahal\u0131 bataryalara ihtiya\u00e7 duyulmas\u0131na veya batarya \u015farj d\u00f6ng\u00fclerine ba\u011fl\u0131 olarak u\u00e7u\u015f s\u00fcrelerinin s\u0131n\u0131rland\u0131r\u0131lmas\u0131na yol a\u00e7maktad\u0131r.<\/p>\n

Dronlarda G\u00f6r\u00fc\u015f Sistemleri<\/h4>\n

G\u00f6r\u00fcnt\u00fc sens\u00f6rleri yukar\u0131daki sens\u00f6rleri \u00f6nemli operasyonel geli\u015ftirmelerle tamamlayarak y\u00fcksek hassasiyetli, y\u00fcksek do\u011fruluklu bir makine ortaya \u00e7\u0131kar\u0131r. Bunlar iki yap\u0131da mevcuttur - Gimballer (genellikle faydal\u0131 y\u00fck olarak da adland\u0131r\u0131l\u0131r) ve G\u00f6rsel Navigasyon Sistemleri (VNS).<\/p>\n

Gimballer*<\/strong>\u00a0- birinci \u015fah\u0131s g\u00f6r\u00fc\u015f\u00fc (FPV) sa\u011flar; genellikle geni\u015f elektromanyetik spektruma yay\u0131lan farkl\u0131 g\u00f6r\u00fcnt\u00fc sens\u00f6r\u00fc t\u00fcrlerinden olu\u015furlar (istisnai durumlarda ultraviyole, 300nm - 1000nm \u00fczerindeki normal CMOS g\u00f6r\u00fcnt\u00fc sens\u00f6rleri, 2000nm'ye kadar uzanan k\u0131sa dalga k\u0131z\u0131l\u00f6tesi (SWIR) sens\u00f6rler ve 2000nm'nin \u00f6tesinde orta dalga (MWIR) ve uzun dalga k\u0131z\u0131l\u00f6tesi (LWIR) sens\u00f6rler.<\/p>\n

G\u00f6rsel Navigasyon Sistemleri (VNS)<\/strong>\u00a0- Navigasyon rehberli\u011fi, nesne ve \u00e7arp\u0131\u015fmadan ka\u00e7\u0131nma sa\u011flarlar; genellikle ucuz d\u00fc\u015f\u00fck \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc g\u00f6r\u00fcnt\u00fc sens\u00f6rlerinden olu\u015furlar ve IMU ve sens\u00f6r verileriyle birlikte, otonom navigasyon i\u00e7in kapsaml\u0131 bir \u00e7\u00f6z\u00fcm olu\u015fturmak \u00fczere bilgisayarla g\u00f6rme tekniklerini kullan\u0131rlar.<\/p>\n

G\u00f6r\u00fc\u015f Sistemlerinin \u00d6nemi<\/h4>\n

Dronlar, daha \u00f6nce a\u00e7\u0131klanan kullan\u0131m ve uygulamalarda g\u00f6r\u00fcld\u00fc\u011f\u00fc gibi hem i\u00e7 hem de d\u0131\u015f mekan ko\u015fullar\u0131nda \u00e7al\u0131\u015f\u0131r. Bu ko\u015fullar, toz, sis, duman ve zifiri karanl\u0131k ortamlarda \u00e7ok \u00e7e\u015fitli ayd\u0131nlatma farkl\u0131l\u0131klar\u0131 ve g\u00f6r\u00fcn\u00fcrl\u00fck s\u0131n\u0131rlamalar\u0131 ile \u00f6nemli \u00f6l\u00e7\u00fcde zorlay\u0131c\u0131 olabilir. Bu sistemler, g\u00f6r\u00fcnt\u00fc verileri \u00fczerinde uygulanan \u00f6nemli yapay zeka (AI) ve makine \u00f6\u011frenimi (ML) algoritmalar\u0131ndan yararlanmaya \u00e7al\u0131\u015f\u0131rken, daha \u00f6nce bahsedilen teknikler taraf\u0131ndan sa\u011flanan verilerin yard\u0131m\u0131n\u0131 kullanarak, d\u00fc\u015f\u00fck g\u00fc\u00e7 t\u00fcketen ve uzun menzilli mesafe veya uzun u\u00e7u\u015f s\u00fcresi operasyonlar\u0131 sunan son derece optimize edilmi\u015f bir arac\u0131 \u00e7al\u0131\u015ft\u0131rma ba\u011flam\u0131nda.<\/p>\n

Bu algoritmalara veri giri\u015finin y\u00fcksek do\u011frulukta ve son derece ayr\u0131nt\u0131l\u0131 olmas\u0131, ancak belirli kullan\u0131m durumlar\u0131nda sadece ihtiya\u00e7 duyulan\u0131 sunmas\u0131 ve b\u00f6ylece verimli i\u015flemeyi m\u00fcmk\u00fcn k\u0131lmas\u0131 zorunludur. AI\/ML kullan\u0131m\u0131nda e\u011fitim s\u00fcrelerinin k\u0131sa olmas\u0131 ve \u00e7\u0131kar\u0131m\u0131n y\u00fcksek do\u011fruluk ve hassasiyetle h\u0131zl\u0131 olmas\u0131 gerekir. Yukar\u0131daki gereksinimleri kar\u015f\u0131lamak i\u00e7in drone hangi ortamda \u00e7al\u0131\u015f\u0131rsa \u00e7al\u0131\u015fs\u0131n g\u00f6r\u00fcnt\u00fclerin y\u00fcksek kalitede olmas\u0131 gerekir.<\/p>\n

Sadece sahneyi yakalayan ve i\u015fleme i\u00e7in sunan sens\u00f6rler, bu makinelerin y\u00fcksek kalitede \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flamada \u00f6nemli \u00f6l\u00e7\u00fcde yetersiz kalmaktad\u0131r ve \u00e7o\u011fu durumda konu\u015fland\u0131r\u0131lma ama\u00e7lar\u0131n\u0131 ge\u00e7ersiz k\u0131lacakt\u0131r. \u0130lgilenilen b\u00f6lgelerde tam ayr\u0131nt\u0131lara sahip olmaya devam ederken \u00f6l\u00e7ek k\u00fc\u00e7\u00fcltme, ayn\u0131 karede parlak ve karanl\u0131k ayd\u0131nlatma ko\u015fullar\u0131n\u0131 ele almak i\u00e7in geni\u015f dinamik aral\u0131k sunma, g\u00f6r\u00fcnt\u00fclerdeki parazit etkileri en aza indirme \/ ortadan kald\u0131rma, toz \/ sis \/ duman dolu g\u00f6r\u00fc\u015f alanlar\u0131n\u0131 ele alma ve bu g\u00f6r\u00fcnt\u00fclere y\u00fcksek derinlik \u00e7\u00f6z\u00fcn\u00fcrl\u00fc\u011f\u00fc ile yard\u0131mc\u0131 olma yetene\u011fi, \u0130HA'lar\u0131 son derece optimize edilmi\u015f bir makine haline getirmek i\u00e7in muazzam faydalar sa\u011flar.<\/p>\n

Bu yetenekler, bu g\u00f6r\u00fcnt\u00fclerin yeniden yap\u0131land\u0131r\u0131lmas\u0131 ve analizi i\u00e7in gereken kaynaklar\u0131n (i\u015flem \u00e7ekirdekleri, GPU'lar, \u00e7ip i\u00e7i veya d\u0131\u015f\u0131 bellek, veri yolu mimarileri ve g\u00fc\u00e7 y\u00f6netimi) b\u00fcy\u00fckl\u00fc\u011f\u00fcn\u00fc en aza indirir ve karar verme s\u00fcrecini h\u0131zland\u0131r\u0131r. Bu ayn\u0131 zamanda, \u00f6zellikle de g\u00fcn\u00fcm\u00fcz \u0130HA'lar\u0131n\u0131n 10'dan fazla g\u00f6r\u00fcnt\u00fc sens\u00f6r\u00fcne kolayca ev sahipli\u011fi yapabildi\u011fini d\u00fc\u015f\u00fcnd\u00fc\u011f\u00fcm\u00fczde, genel sistemin \u00fcr\u00fcn maliyetini de d\u00fc\u015f\u00fcrmektedir. Alternatif olarak, ayn\u0131 kaynak seti i\u00e7in, etkili karar vermeye yard\u0131mc\u0131 olacak daha fazla analiz ve karma\u015f\u0131k algoritmalar m\u00fcmk\u00fcn k\u0131l\u0131nabilir ve b\u00f6ylece \u0130HA'y\u0131 bu kalabal\u0131k alanda farkl\u0131la\u015ft\u0131rabilir.<\/p>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

Dronlar e\u011flence (TV \u015fovu\/film yap\u0131m\u0131), hobi ama\u00e7l\u0131 foto\u011fraf\u00e7\u0131l\u0131k ve sadece e\u011flenceli bir oyuncak olarak yayg\u0131nla\u015ft\u0131. Giderek daha fazla<\/p>","protected":false},"author":1,"featured_media":8666,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-373","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"aioseo_notices":[],"jetpack_publicize_connections":[],"_links":{"self":[{"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/posts\/373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/comments?post=373"}],"version-history":[{"count":4,"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/posts\/373\/revisions"}],"predecessor-version":[{"id":8675,"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/posts\/373\/revisions\/8675"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/media\/8666"}],"wp:attachment":[{"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/media?parent=373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/categories?post=373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lxbchip.com\/tr\/wp-json\/wp\/v2\/tags?post=373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}