{"id":26030,"date":"2024-08-30T02:01:30","date_gmt":"2024-08-30T02:01:30","guid":{"rendered":"https:\/\/luview.com\/?p=26030"},"modified":"2025-10-23T05:59:18","modified_gmt":"2025-10-23T05:59:18","slug":"yonetmeli%cc%87k-yorumu-r159-ai-yaya-tespi%cc%87t-kameralari-surus-guvenli%cc%87gi%cc%87ni%cc%87-artiriyor","status":"publish","type":"post","link":"https:\/\/luview.com\/tr\/interpretation-of-regulation-r159-ai-pedestrian-detection-cameras-enhance-driving-safety\/","title":{"rendered":"R159 Y\u00f6netmeli\u011finin Yorumlanmas\u0131: Yapay Zeka Yaya Alg\u0131lama Kameralar\u0131 S\u00fcr\u00fc\u015f G\u00fcvenli\u011fini Art\u0131r\u0131yor"},"content":{"rendered":"<p>Kentle\u015fmenin h\u0131zlanmas\u0131 ve karayolu trafik ko\u015fullar\u0131n\u0131n giderek daha karma\u015f\u0131k hale gelmesiyle birlikte, yayalar\u0131n ve bisikletlilerin g\u00fcvenli\u011fi giderek artan bir endi\u015fe kayna\u011f\u0131 haline gelmi\u015ftir. Buna cevaben, Birle\u015fmi\u015f Milletler Avrupa Ekonomik Komisyonu (UNECE) \u201cHareketli Bilgi Sistemi\u201d (MOIS) olarak bilinen R159 say\u0131l\u0131 Y\u00f6netmeli\u011fi geli\u015ftirmi\u015ftir. Bu y\u00f6netmelik, geli\u015fmi\u015f teknolojik ara\u00e7larla ara\u00e7lar\u0131n yayalar\u0131 tespit etme kabiliyetini art\u0131rmay\u0131 ve b\u00f6ylece trafik kazalar\u0131n\u0131n olu\u015fumunu azaltmay\u0131 ama\u00e7lamaktad\u0131r. Bu makalede R159 say\u0131l\u0131 Y\u00f6netmeli\u011fin gereklilikleri ve otomotiv end\u00fcstrisi \u00fczerindeki etkileri detayl\u0131 bir \u015fekilde yorumlanacakt\u0131r.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-26066 lazyload\" data-src=\"https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004.jpg\"  width=\"1390\" height=\"630\" data-srcset=\"https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004.jpg 1390w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-800x363.jpg 800w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-300x136.jpg 300w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-1030x467.jpg 1030w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-768x348.jpg 768w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-949x430.jpg 949w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-705x320.jpg 705w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-708x321.jpg 708w, https:\/\/luview.com\/wp-content\/uploads\/2024\/08\/004-450x204.jpg 450w\" data-sizes=\"(max-width: 1390px) 100vw, 1390px\" title=\"R159 say\u0131l\u0131 Y\u00f6netmeli\u011fin Yorumlanmas\u0131: Yapay Zeka Yaya Alg\u0131lama Kameralar\u0131 S\u00fcr\u00fc\u015f G\u00fcvenli\u011fini Art\u0131r\u0131yor \u63d2\u56fe\" alt=\"R159 say\u0131l\u0131 Y\u00f6netmeli\u011fin Yorumlanmas\u0131: Yapay Zeka Yaya Alg\u0131lama Kameralar\u0131 S\u00fcr\u00fc\u015f G\u00fcvenli\u011fini Art\u0131r\u0131yor \u63d2\u56fe\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1390px; --smush-placeholder-aspect-ratio: 1390\/630;\" \/><\/p>\n<h3>R159 MOIS Y\u00f6netmeli\u011fine Genel Bak\u0131\u015f<\/h3>\n<p>Daha b\u00fcy\u00fck ve daha karma\u015f\u0131k g\u00f6vde yap\u0131lar\u0131 nedeniyle ticari ara\u00e7lar benzersiz tehlikeli s\u00fcr\u00fc\u015f durumlar\u0131yla kar\u015f\u0131 kar\u015f\u0131yad\u0131r. \u00d6rne\u011fin, kamyon ve otob\u00fcslerin \u00f6n ve yan taraflar\u0131nda \u00f6nemli k\u00f6r noktalar vard\u0131r, bu da s\u00fcr\u00fcc\u00fclerin yoldaki yayalar\u0131 ve bisikletlileri g\u00f6rmesini zorla\u015ft\u0131r\u0131r. Ayr\u0131ca, sola veya sa\u011fa d\u00f6nerken, ticari ara\u00e7lar\u0131n geni\u015f d\u00f6n\u00fc\u015f yar\u0131\u00e7ap\u0131 her iki taraftaki yayalar ve bisikletliler i\u00e7in tehlike olu\u015fturabilir.<\/p>\n<p>Bu sorunlar\u0131 ele almak \u00fczere, 2019 y\u0131l\u0131nda yay\u0131nlanan AB Genel G\u00fcvenlik Y\u00f6netmeli\u011fi (GSR), 6 Temmuz 2022'den itibaren ticari ara\u00e7lar\u0131n (M2, M3, N2 ve N3 kategorileri) yaya ve bisikletli alg\u0131lama, k\u00f6r nokta izleme ve geri vites yard\u0131m\u0131 gibi \u00f6zelliklerle donat\u0131lmas\u0131n\u0131 zorunlu k\u0131lmaktad\u0131r. Bu \u00f6nlemler, ticari ara\u00e7 kullan\u0131m\u0131n\u0131n g\u00fcvenli\u011fini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rmay\u0131 ve savunmas\u0131z yol kullan\u0131c\u0131lar\u0131n\u0131 korumay\u0131 ama\u00e7lamaktad\u0131r.<\/p>\n<p>BM ECE R159 Mobil Bilgi Sistemleri (MOIS) Y\u00f6netmeli\u011fi 10 Haziran 2021 tarihinde y\u00fcr\u00fcrl\u00fc\u011fe girmi\u015ftir. Yeni M2, M3, N2 ve N3 kategorisi modeller i\u00e7in 6 Temmuz 2022'den itibaren zorunludur ve yeni tescil edilen M2, M3, N2 ve N3 kategorisi ara\u00e7lar i\u00e7in 7 Temmuz 2024'ten itibaren zorunlu olacakt\u0131r.<\/p>\n<h3>D\u00fczenleyici Gereklilikler<\/h3>\n<p>R159 MOIS Y\u00f6netmeli\u011fi gerekliliklerine g\u00f6re, sistem a\u015fa\u011f\u0131daki ko\u015fullar\u0131 kar\u015f\u0131lamal\u0131d\u0131r:<\/p>\n<h4>1. \u0130zleme Aral\u0131\u011f\u0131<\/h4>\n<p>MOIS sistemi arac\u0131n \u00f6n k\u00f6r noktalar\u0131n\u0131 izlemeli ve yayalar veya bisikletlilerle \u00e7arp\u0131\u015fmalar\u0131 \u00f6nlemek i\u00e7in d\u00fc\u015f\u00fck h\u0131zlarda (saatte 0 ila 10 kilometre) etkili bir \u015fekilde \u00e7al\u0131\u015fabilmelidir.<\/p>\n<h4>2. Uygulanabilir Ara\u00e7 Tipleri<\/h4>\n<p>Y\u00f6netmelik, k\u00fc\u00e7\u00fck kamyonetlerden b\u00fcy\u00fck kamyonlara kadar bir dizi modeli kapsayan M2, M3, N2 ve N3 kategorilerindeki ara\u00e7lar i\u00e7in ge\u00e7erlidir.<\/p>\n<h4>3. Uyar\u0131 Y\u00f6ntemleri<\/h4>\n<p>MOIS sistemi arac\u0131n \u00f6n\u00fcnde yayalar veya bisikletliler tespit etti\u011finde, s\u00fcr\u00fcc\u00fcn\u00fcn zaman\u0131nda harekete ge\u00e7mesini sa\u011flamak i\u00e7in g\u00f6rsel, akustik, dokunsal veya sinyallerin bir kombinasyonunu kullanarak s\u00fcr\u00fcc\u00fcy\u00fc uyarabilir.<\/p>\n<h4>4. Alg\u0131lama Aral\u0131\u011f\u0131<\/h4>\n<p>MOIS sistemi, arac\u0131n \u00f6n tamponunun \u00f6n\u00fcnde 80 santimetre ile 3,7 metre aras\u0131nda etkili bir alg\u0131lama aral\u0131\u011f\u0131na sahip olmal\u0131d\u0131r (toplam uzunluk 4,5 metre). Bu, yayalar\u0131n veya bisikletlilerin yak\u0131n mesafelerde bile alg\u0131lanabilmesini sa\u011flar.<\/p>\n<h4>5. Minimum Alg\u0131lama Geni\u015fli\u011fi<\/h4>\n<p>M\u00fcmk\u00fcn oldu\u011funca \u00e7ok say\u0131da yaya ve bisikletliyi kapsamak i\u00e7in MOIS sisteminin minimum alg\u0131lama geni\u015fli\u011fi 4,3 metre olarak belirlenmi\u015ftir. Bu, daha geni\u015f yollarda bile etkili alg\u0131lama sa\u011flanmas\u0131na yard\u0131mc\u0131 olur.<\/p>\n<h4>6. Teknik Uygulama<\/h4>\n<p>Yukar\u0131daki gereklilikleri kar\u015f\u0131lamak i\u00e7in ara\u00e7 \u00fcreticilerinin MOIS i\u015flevselli\u011fini etkinle\u015ftirmek \u00fczere geli\u015fmi\u015f alg\u0131lama teknolojileri ve algoritmalar\u0131 kullanmalar\u0131 gerekmektedir. Bu, a\u015fa\u011f\u0131dakileri i\u00e7erebilir, ancak bunlarla s\u0131n\u0131rl\u0131 de\u011fildir:<\/p>\n<p>\uff081\uff09<strong>Radar Teknolojisi<\/strong>: Arac\u0131n \u00f6n\u00fcndeki nesneleri tespit etmek i\u00e7in radar dalgalar\u0131n\u0131n kullan\u0131lmas\u0131, yans\u0131yan dalgalar\u0131n zaman gecikmesine ba\u011fl\u0131 olarak nesnelerin mesafesinin hesaplanmas\u0131.<\/p>\n<p>\uff082\uff09\u00a0<strong>Kamera Sistemleri<\/strong>: Kameralar taraf\u0131ndan \u00e7ekilen g\u00f6r\u00fcnt\u00fcleri analiz ederek yayalar\u0131 ve bisikletlileri tan\u0131mlamak i\u00e7in bilgisayarla g\u00f6rme teknolojisini birle\u015ftirmek.<\/p>\n<p>\uff083\uff09<strong>Ultrasonik Sens\u00f6rler<\/strong>: K\u0131sa menzilli tespit i\u00e7in uygundur, \u00f6zellikle d\u00fc\u015f\u00fck h\u0131zl\u0131 manevralar s\u0131ras\u0131nda yak\u0131n menzilli engel tespiti i\u00e7in etkilidir.<\/p>\n<h3>LUVIEW JY-814 AI Kamera<\/h3>\n<p>LUVIEW, R158\/R159 d\u00fczenlemelerine yan\u0131t olarak k\u0131sa s\u00fcre \u00f6nce JY-814 AI Kameray\u0131 tan\u0131tt\u0131. G\u00fc\u00e7l\u00fc AI algoritma modelleriyle donat\u0131lan kamera, R158\/R159 d\u00fczenlemelerinin \u00e7e\u015fitli uygulama senaryolar\u0131na uyum sa\u011flamak i\u00e7in yerle\u015fik men\u00fc ayarlar\u0131na sahiptir. JY-814 AI Kamera yaya ve ara\u00e7 alg\u0131lama \u00f6zelliklerine sahiptir ve s\u00fcr\u00fcc\u00fcleri yayalar ve hem \u00f6nden hem de arkadan yakla\u015fan ara\u00e7lar hakk\u0131nda uyarmak i\u00e7in sesli ve g\u00f6rsel uyar\u0131 sinyalleri sa\u011flar. Kamera ayr\u0131ca harici WiFi ileti\u015fimini ve y\u00fckseltme i\u015flevlerini destekleyerek kullan\u0131c\u0131lar\u0131n WiFi \u00fczerinden kameran\u0131n standart, yans\u0131tma ve d\u00f6nd\u00fcrme gibi ayarlar\u0131n\u0131 yap\u0131land\u0131rmas\u0131na olanak tan\u0131r.<\/p>\n<h3>Sonu\u00e7<\/h3>\n<p>R159 MOIS y\u00f6netmeli\u011finin olu\u015fturulmas\u0131, uluslararas\u0131 toplumun trafik g\u00fcvenli\u011fine olan g\u00fc\u00e7l\u00fc ba\u011fl\u0131l\u0131\u011f\u0131n\u0131 yans\u0131tmaktad\u0131r. Luview, geli\u015fen teknolojiyle birlikte gelecekte daha fazla benzer d\u00fczenlemenin ortaya \u00e7\u0131kaca\u011f\u0131n\u0131, ak\u0131ll\u0131 ula\u015f\u0131m sistemlerinin geli\u015fimini daha da te\u015fvik edece\u011fini ve daha g\u00fcvenli ve daha verimli bir karayolu trafi\u011fi ortam\u0131 yarataca\u011f\u0131n\u0131 \u00f6ng\u00f6r\u00fcyor. T\u00fcketiciler olarak, yeni bir ara\u00e7 se\u00e7erken, kendinizin ve ba\u015fkalar\u0131n\u0131n g\u00fcvenli\u011fini sa\u011flamak i\u00e7in arac\u0131n MOIS standartlar\u0131n\u0131 kar\u015f\u0131layan sistemlerle donat\u0131lm\u0131\u015f olup olmad\u0131\u011f\u0131na odaklanman\u0131z da tavsiye edilir.<\/p>","protected":false},"excerpt":{"rendered":"<p>With the acceleration of urbanization and the increasing complexity of road traffic conditions, the safety of pedestrians and cyclists has become a growing concern. In response to this, the United Nations Economic Commission for Europe (UNECE) has developed Regulation R159, known as the &#8220;Moving Off Information System&#8221; (MOIS). This regulation aims to enhance vehicles&#8217; ability [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":26068,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[52],"tags":[],"class_list":["post-26030","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news"],"_links":{"self":[{"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/posts\/26030","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/comments?post=26030"}],"version-history":[{"count":0,"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/posts\/26030\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/media\/26068"}],"wp:attachment":[{"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/media?parent=26030"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/categories?post=26030"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/luview.com\/tr\/wp-json\/wp\/v2\/tags?post=26030"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}