Presentation 2018-03-07
A Study on Behavior Prediction Using Multiple Object Recognition in Road Environment
Ryo Kawanami, Kousuke Matsushima,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, self-driving technology has attracted attention. In order to further advance the self-driving technology, it is necessary to aim at technology to avoid encountering dangerous scenes from technology to avoid a collision when encountering a dangerous scene. Therefore, as a technology to improve the safety of drivers and vulnerable road users, we devise a behavior prediction system for objects around the vehicle in the road environment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) self-driving / behavior prediction system
Paper # ITS2017-87
Date of Issue 2018-02-28 (ITS)

Conference Information
Committee ITS / IEE-ITS
Conference Date 2018/3/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Information Processing for ITS, etc.
Chair Takayoshi Yokota(Tottori Univ.)
Vice Chair Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.)
Secretary Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(Saitama Univ.)
Assistant Msataka Imao(ME) / Yanlei Gu(Univ. of Tokyo) / Kenshi Saho(Toyama Prefectural Univ.) / Kouichiro Hashiura(Akita Prefectural Univ.)

Paper Information
Registration To Technical Committee on Intelligent Transport Systems Technology / Technical Meeting on Intelligent Transport Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Behavior Prediction Using Multiple Object Recognition in Road Environment
Sub Title (in English)
Keyword(1) self-driving
Keyword(2) behavior prediction system
1st Author's Name Ryo Kawanami
1st Author's Affiliation National Institute of Technology, Kurume College(NITKC)
2nd Author's Name Kousuke Matsushima
2nd Author's Affiliation National Institute of Technology, Kurume College(NITKC)
Date 2018-03-07
Paper # ITS2017-87
Volume (vol) vol.117
Number (no) ITS-478
Page pp.pp.35-40(ITS),
#Pages 6
Date of Issue 2018-02-28 (ITS)