Art

J-GLOBAL ID：201702252508048905   Reference number：17A0000850

Fundamental Study on Road Detection Method Using Multi-Layered Distance Data with HOG and SVM

HOGとSVMによる多層距離データを用いた道路検出法に関する基礎研究

Author (4)： KAZAMA Keisuke (Tokyo Univ. Agriculture and Technol., Tokyo, JPN) ,  AKAGI Yasuhiro (Tokyo Univ. Agriculture and Technol., Tokyo, JPN) ,  RAKSINCHAROENSAK Pongsathorn (Tokyo Univ. Agriculture and Technol., Tokyo, JPN) ,  MOURI Hiroshi (Tokyo Univ. Agriculture and Technol., Tokyo, JPN)
Material： Journal of Robotics and Mechatronics  (J Robot Mechatron)
Volume： 28  Issue： 6  Page： 870-877  Publication year： Dec. 20, 2016 
JST Material Number： L0735A  ISSN： 0915-3942  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *algorithm ,  *support vector machine ,  Machine Learning ,  data ,  electric automobile ,  *road ,  robustness ,  automobile ,  multilayer ,  image processing ,  Computer Simulation ,  segmentation ,  detection ,  Laser Imaging Detection and Ranging data ,  autonomous vehicle ,  computer application ,  utilization
Semi thesaurus term： *histogram of oriented gradients ,  range data ,  autonomous vehicle

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Artificial intelligence  (JE08000Z)

Reference (25)：

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Terms in the title (8)： HOG ,  SVM ,  多層 ,  距離データ ,  道路 ,  検出法 ,  基礎 ,  研究