کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969485 1449973 2018 45 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A survey on Visual-Based Localization: On the benefit of heterogeneous data
ترجمه فارسی عنوان
یک بررسی بر اساس محلی سازی مبتنی بر ویژوال: به نفع داده های ناهمگن
کلمات کلیدی
محلی سازی مبتنی بر تصویر، جغرافیایی ویژوال، محل سکونت دوربین، برآورد پوزیشن،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
We are surrounded by plenty of information about our environment. From these multiple sources, numerous data could be extracted: set of images, 3D model, coloured points cloud... When classical localization devices failed (e.g. GPS sensor in cluttered environments), aforementioned data could be used within a localization framework. This is called Visual Based Localization (VBL). Due to numerous data types that can be collected from a scene, VBL encompasses a large amount of different methods. This paper presents a survey about recent methods that localize a visual acquisition system according to a known environment. We start by categorizing VBL methods into two distinct families: indirect and direct localization systems. As the localization environment is almost always dynamic, we pay special attention to methods designed to handle appearances changes occurring in a scene. Thereafter, we highlight methods exploiting heterogeneous types of data. Finally, we conclude the paper with a discussion on promising trends that could permit to a localization system to reach high precision pose estimation within an area as large as possible.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 74, February 2018, Pages 90-109
نویسندگان
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