| 書目名稱 | Road Terrain Classification Technology for Autonomous Vehicle |
| 編輯 | Shifeng Wang |
| 視頻video | http://file.papertrans.cn/831/830912/830912.mp4 |
| 概述 | Comprehensively discusses various accelerometers, cameras, sensors, and LRFs for autonomous vehicles.Provides an extensive review of road terrain classification by applying the MRF multiple-sensor fus |
| 叢書名稱 | Unmanned System Technologies |
| 圖書封面 |  |
| 描述 | This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible.? |
| 出版日期 | Book 2019 |
| 關鍵詞 | Mutiple Sensor; Laser Range Finder; Principal Component Analysis; Power Spectral Density; Fast Fourier T |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-13-6155-5 |
| isbn_softcover | 978-981-13-6157-9 |
| isbn_ebook | 978-981-13-6155-5Series ISSN 2523-3734 Series E-ISSN 2523-3742 |
| issn_series | 2523-3734 |
| copyright | China Machine Press, Beijing and Springer Nature Singapore Pte Ltd. 2019 |
|Archiver|手機版|小黑屋|
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