کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
555868 874165 2016 10 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Traffic sign detection in MLS acquired point clouds for geometric and image-based semantic inventory
ترجمه فارسی عنوان
تشخیص نشانه های ترافیک در ابرهای نقطه اکتسابی MLS برای موجودی معنایی هندسی و مبتنی بر تصویر
کلمات کلیدی
نقشه برداری با تلفن همراه؛ لیزر اسکن؛ موجودی علامت ترافیک؛ شناخت نشانه های ترافیک؛ تقسیم بندی ابر نقطه
Mobile mapping; Laser scanning; Traffic sign inventory; Traffic sign recognition; Point cloud segmentation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی

Nowadays, mobile laser scanning has become a valid technology for infrastructure inspection. This technology permits collecting accurate 3D point clouds of urban and road environments and the geometric and semantic analysis of data became an active research topic in the last years. This paper focuses on the detection of vertical traffic signs in 3D point clouds acquired by a LYNX Mobile Mapper system, comprised of laser scanning and RGB cameras. Each traffic sign is automatically detected in the LiDAR point cloud, and its main geometric parameters can be automatically extracted, therefore aiding the inventory process. Furthermore, the 3D position of traffic signs are reprojected on the 2D images, which are spatially and temporally synced with the point cloud. Image analysis allows for recognizing the traffic sign semantics using machine learning approaches. The presented method was tested in road and urban scenarios in Galicia (Spain). The recall results for traffic sign detection are close to 98%, and existing false positives can be easily filtered after point cloud projection. Finally, the lack of a large, publicly available Spanish traffic sign database is pointed out.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 114, April 2016, Pages 92–101
نویسندگان
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