کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6853668 | 1437241 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An illumination robust road detection method based on color names and geometric information
ترجمه فارسی عنوان
یک روش تشخیص جاده ای روشن بر اساس نام رنگ و اطلاعات هندسی
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کلمات کلیدی
شناسایی جاده، روشنایی قوی، نام های رنگ، نقطه ناپایدار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Road detection is a basic task in automated driving field. In existing methods, detecting lane marks is a frequently used approach. However, road marks could fade with time, or even do not exist on some roads. Considering these factors, road region segmentation from background is much more reliable. One of the difficulties in this area is dealing with variant illumination conditions. Existing methods make some progress on reducing the influence of shadows, but they are still not satisfactory. Taking this into account, we put forward an improved shadow-free road detecting method based on color names, whose performance exceeds the existing methods. In addition, to further improving our performance on application, we adopt vanishing point detection and fuse two confidence maps to reduce the interference of sidewalk regions. Experiments on KITTI dataset depict that the proposed method is efficient. Moreover, the improved road detection method has low-complexity, which meets the requirement of practical usage.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cognitive Systems Research - Volume 52, December 2018, Pages 240-250
Journal: Cognitive Systems Research - Volume 52, December 2018, Pages 240-250
نویسندگان
Fenglei Xu, Bingwen Hu, Lineng Chen, Huan Wang, Qingyuan Xia, Paramjit Sehdev, Mingwu Ren,