Presentation 2016-12-02
3D Scene Understanding at Urban Intersections for Autonomous Vehicles
Prarthana Bhattacharyya, Yanlei Gu, Jiali Bao, Shunsuke Kamijo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Urban intersections exhibit very complex driving behavior and are extremely prone to traffic accidents and collisions. It is thus very important for autonomous vehicles to comprehensively analyze and interpret the traffic suroundings before it can plan its subsequent motion. This paper presents a stereo vision and digital map based approach for autonomous vehicles to geometrically, contextually and semantically understand the 3D driving environment at urban intersections. Stereo vision is used to detect, classify and track dynamic obstacles, while digital 2D and 3D maps of the environment are used to identify static obstacles and provide context to the dynamic traffic participants. This paper also addresses the crucial aspect of ego-position and ego-motion estimation for accurate scene understanding systems by proposing to integrate the global navigation satellite systems (GNSS), inertial navigation sensors (INS) and on-board camera. Experiments conducted in various challenging conditions at Hitotsubashi, Tokyo demonstrate the effectiveness of the proposed system in providing comprehensive awareness of the traffic surroundings.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) 3D Scene Understanding / Digital Map / Stereo Vision / Integration / Vehicle Self-localization
Paper # WBS2016-69,ITS2016-36,RCC2016-58
Date of Issue 2016-11-24 (WBS, ITS, RCC)

Conference Information
Committee WBS / RCC / ITS
Conference Date 2016/12/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Sunport Hall Takamatsu
Topics (in Japanese) (See Japanese page)
Topics (in English) ITS Communications, Reliable Communication and Control, Rader and Sensing, etc.
Chair Fumiaki Maehara(Waseda Univ.) / Shinsuke Hara(Osaka City Univ.) / Tomotaka Nagaosa(Kanto Gakuin Univ.)
Vice Chair Masanori Hamamura(Kochi Univ. of Tech.) / Fumie Ono(NICT) / Kazunori Hayashi(Kyoto Univ.) / Ryu Miura(NICT) / Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.)
Secretary Masanori Hamamura(Tokyo City Univ.) / Fumie Ono(Mitsubishi Electric) / Kazunori Hayashi(Kagawa Univ.) / Ryu Miura(Hokkaido Univ.) / Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(AIST)
Assistant Yusuke Kozawa(Tokyo Univ. of Science) / Akira Nakamura(Tokyo Univ. of Science) / Ryohei Nakamura(National Defense Academy) / Toshinori Kagawa(NICT) / Kentaro Kobayashi(Nagoya Univ.) / Tetsuya Manabe(Saitama Univ.) / Yanlei Gu(Univ. of Tokyo) / Koichiro Hashiura(Akita Pref. Univ.)

Paper Information
Registration To Technical Committee on Wideband System / Technical Committee on Reliable Communication and Control / Technical Committee on Intelligent Transport Systems Technology
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) 3D Scene Understanding at Urban Intersections for Autonomous Vehicles
Sub Title (in English)
Keyword(1) 3D Scene Understanding
Keyword(2) Digital Map
Keyword(3) Stereo Vision
Keyword(4) Integration
Keyword(5) Vehicle Self-localization
1st Author's Name Prarthana Bhattacharyya
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Yanlei Gu
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Jiali Bao
3rd Author's Affiliation The University of Tokyo(UTokyo)
4th Author's Name Shunsuke Kamijo
4th Author's Affiliation The University of Tokyo(UTokyo)
Date 2016-12-02
Paper # WBS2016-69,ITS2016-36,RCC2016-58
Volume (vol) vol.116
Number (no) WBS-337,ITS-338,RCC-339
Page pp.pp.125-130(WBS), pp.125-130(ITS), pp.125-130(RCC),
#Pages 6
Date of Issue 2016-11-24 (WBS, ITS, RCC)