Road Lane Line Detection Based on ML and DL Techniques

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Lane detection is an important technology in driving assistance systems and smart cars, intended to identify and track lane lines on highways and public streets. Line detection is crucial to maintaining traffic safety and achieving safe and efficient driving. Many algorithms have developed in the field of machine learning over the past years, especially in the field of deep learning, which is an important branch of machine learning. As programming tools, we used Python, Open CV, which is the most widely used in this field. I created an application that warns the driver if the line is crossed on the road, intentionally or unintentionally.

روابط وملفات

التعريف والنوع

رقم الوثيقة

fec2f11c-eb8c-4e17-b9a8-6e8b25377ccc

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

ماستر (LMD)

نوع الملف

pdf text

أسماء الملفات

2375409_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"سعيد قدري","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"سمية شينين","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Road Lane Line Detection Based on ML and DL Techniques

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

machine learning, deep learning, lane line detection, neural networks, selfdriving cars

إشراف وإعداد

الإشراف

سعيد قدري

الإعداد

سمية شينين

الاقتباسات الببليوغرافية