کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7534829 1488268 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inferring the actual urban road environment from traffic sign data using a minimum description length approach
ترجمه فارسی عنوان
تعیین محیط واقعی جاده شهری از اطلاعات نشانه های ترافیک با استفاده از حداقل رویکرد طول توصیف
کلمات کلیدی
سیستم های تشخیص نشانه های ترافیکی، تشخیص محیط جاده، حداکثر اصل طول توضیحات، فرآیند نقطه معکوس پواسون، استنتاج آماری،
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی تحقیقات ایمنی
چکیده انگلیسی
In our paper, we focus on a group of traffic signs and use traffic sign logs to statistically infer the type of urban environment in which a car is being driven. The traffic signs are either perceived and logged by a human data entry assistant, or preferably automatically detected and logged by an on-board traffic sign recognition and logging system. An entry in the log-file records the traffic sign type and the along-the-route location of the sign. Furthermore, in case of collecting training data it records also the actual road environment category entered by the data entry assistant. The logs are seen as realizations of an inhomogeneous marked Poisson process, and the minimum description length (MDL) principle is applied to infer the actual environment. The aim of this approach is to encode the current data in the shortest possible way ‒ assuming stochastic models derived from data collected earlier ‒ and thereby accept the corresponding model and environment as actual. To evaluate the quality of classification, the inferred environment categories are compared to the ground truth data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Procedia - Volume 27, 2017, Pages 516-523
نویسندگان
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