کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4948832 1439855 2017 46 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
R-SLAM: Resilient localization and mapping in challenging environments
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
R-SLAM: Resilient localization and mapping in challenging environments
چکیده انگلیسی
A four wheeled, differential drive mobile robot platform and ROS framework have been used to implement and test the proposed method. Field test results reported in this article are obtained in historical Hagia Sophia museum, Istanbul, which occupies an area of 7500 square meters. To provide analogous results, another set of tests are performed on publicly available datasets and SLAM evaluation toolkit developed at the University of Freiburg is used to compare the results.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 87, January 2017, Pages 66-80
نویسندگان
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