| 书目名称 | Vision-based Pedestrian Protection Systems for Intelligent Vehicles | | 编辑 | David Gerónimo,Antonio M. López | | 视频video | | | 丛书名称 | SpringerBriefs in Computer Science | | 图书封面 |  | | 描述 | Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human’s appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness.In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 | | 出版日期 | Book 2014 | | 关键词 | Computer Vision; Driver Assistance Systems; Intelligent Vehicles; Pedestrian Detection; Vulnerable Road | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-7987-1 | | isbn_softcover | 978-1-4614-7986-4 | | isbn_ebook | 978-1-4614-7987-1Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s) 2014 |
The information of publication is updating
|
|
发表于 2025-3-21 19:35:53
