کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
525479 868924 2009 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Measurement uncertainty determination and curve-fitting algorithms for development of accurate digital maps for advanced driver assistance systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Measurement uncertainty determination and curve-fitting algorithms for development of accurate digital maps for advanced driver assistance systems
چکیده انگلیسی

Digital maps can provide support for numerous advanced driver assistance systems (ADAS) aimed at improving road safety. These new uses require more highly detailed and precise maps. The use of a datalog vehicle to collect roadway geometry data can fulfil these specifications. This paper presents fast, accurate measurement with an on-board inertial system together with a method to evaluate measurement uncertainty, particularly for any variables obtained indirectly. It also presents an algorithm for segmentation and fitting geometric curves to the experimental points, following current highway design standards. The algorithms have been applied to real road measurements. Segmentation has been done in straight alignments, circular curves and transition curves whose characteristic parameters are calculated. It has been seen that with a very small data set it is possible to reconstruct the measured geometry with few discrepancies regarding the experimental points.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part C: Emerging Technologies - Volume 17, Issue 3, June 2009, Pages 225–239
نویسندگان
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