Atsushi Fujita(藤田 敦)

Ph.D. Student,
Mobile Computing Laboratory (Higashino Lab.),
Graduate School of Information Science and Technology,
Osaka University, Japan
a-fujita[atmark]ist.osaka-u.ac.jp
Atsushi Fujita
大阪大学ロゴマーク
情報科学研究科+モバイルコンピューティング講座ロゴマーク
 

News

 Jan. 2016  I have conducted the presentation at IEICE technical comittee MoNA (Oita, Japan).
 Feb. 2017  Co-authored paper have been presented at IPSJ SIG-ITS (Hokkaido, Japan).

Education

Doctor's Course of Graduate School of Info. and Sci. Tech., Osaka University  2015 April – Present
Master's Cource of Graduate School of Info. and Sci. Tech., Osaka University  2011 April – 2015 March
Bachelor of Department of Information and Computer Sciences, Osaka University  2007 April – 2011 March

Research Topics

Interest: Intelligent Transportation Systems, ITS

Research 1: A Study on Cooperative Vehicle Awareness Using Vehicle-to-vehicle Communication

 In this reseach, I propose a cooperative awareness method in which multiple vehicles coopera- tively calibrate their positions and recognize neighboring vehicles. In the proposed method, only limited vehicles are equipped with GPS receivers, DSRC devices and vehicle detection devices such as all directional sensors or cameras, and these vehicles share their positions from GPS signals or relative positions calculated by observation among equipped vehicles. Then, the proposed method aims that each equipped vehicle recognizes its neighboring vehicles including indirect neighbors by combining various pieces of position information with different degrees of accuracy. The simulation experiment have revealed that about 60% of neighboring vehicles located within a 500 m radius of own position are recognized within 2.0 m errors in the environment that the penetration rate is even 30%.

Research 2: Safe Driving Support System Based on Cooperative Vehicle Awareness

 In recent years, several advanced safety techniques have been put to practical use for supporting safe driving, ASV (Advanced Safety Vehicle) can detect the presence of surrounding vehicles and pedestrians autonomously. On the other hand, cooperative techniques such as cooperative vehicle-to- vehicle awareness have attracted a lot of attentions in the field of ITS. In this paper, we propose a method for identifying positional relationship of vehicle groups. In the proposed method, connected vehicles share surrounding vehicles’ positions detected by installed range sensors via inter-vehicle communication. By composing those pieces of information into a single view, each connected vehicle can recognize the vehicle group ahead, which cannot be recognized standalone. By utilizing the distance information from two different information sources and executing the matching process, the correct positional relationship among neighboring vehicles can obtain. We have conducted a simulation-based experiment using two types of data to evaluate the effectiveness of the approach, and we have confirmed to achieve the correct identification with high probability by using shared velocity information.

Publications

Journal (in Japanese)

  1. 藤田 敦, 梅津 高朗, 山口 弘純, 東野 輝夫, 金田 茂, 高井 峰生, 車車間通信を用いた車両間協調による周辺車両群の存在把握, 情報処理学会論文誌, Vol.56, No.11, pp.2092‒2105, 2015 [link]

Conference Proceedings

  1. Atsushi Fujita, Hirozumi Yamaguchi, Teruo Higashino and Mineo Takai, A Method for Identifying Laser-tracked Vehicles Using Velocity Data from V2V Messages, Proc. of MOBIQUITOUS 2016: Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services , Nov. 2016 [link]
  2. Atsushi Fujita, Hirozumi Yamaguchi, Teruo Higashino and Mineo Takai, A Study on Identification of Laser-tracked Vehicles Using V2V-based Velocity Information, Proc. of SmartVehicles2016: The 3rd International Workshop on Smart Vehicles: Connectivity Technologies and ITS Applications, June 2016 [link]
  3. Sae Fujii, Atsushi Fujita, Takaaki Umedu, Hirozumi Yamaguchi, Teruo Higashino, Shigeru Kaneda and Mineo Takai, Cooperative Vehicle Positioning via V2V Communications and Onboard Sensors, Proc. of IEEE WiVeC2011: The 4th IEEE International Symposium on Wireless Vehicular Communications, Sep. 2011 [link]

Domestic Conference Proceedings (in Japanese)

  1. 西村 友佑, 藤田 敦, 廣森 聡仁, 山口 弘純, 東野 輝夫, 諏訪 晃, 浦山 博史, 竹嶋 進, 高井 峰生, 自動運転車両と従来車両の混在が相互の走行にもたらす影響の検討, 情報処理学会 第68回 高度交通システムとスマートコミュニティ(ITS)研究会, Vol.2016‒ITS‒68, No.3, pp.1‒8, 2017年2月 [link]
  2. 藤田 敦, 山口 弘純, 東野 輝夫, 高井 峰生, [奨励講演] 近接車両センシング情報のリアルタイム共有のための車車間通信プロトコル, 電子情報通信学会 モバイルネットワークとアプリケーション (MoNA) 研究会, 信学技報, Vol.116, No.406, MoNA2016-30, pp.7‒12, 2017年1月 [link]
  3. 藤田 敦, 山口 弘純, 東野 輝夫, 高井 峰生, 車車間通信を用いた測域センサ情報の共有にもとづく前方車両群の相対位置把握, 第24回マルチメディア通信と分散処理ワークショップ論文集 (DPSWS2016), Vol.2016, pp.31‒39, 2016年10月 [link]
  4. 藤田 敦, 山口 弘純, 東野 輝夫, 高井 峰生, 車両速度情報と測域センサ情報を併用した前方車両認識手法の検討, 電子情報通信学会 モバイルネットワークとアプリケーション (MoNA) 研究会, 信学技報, Vol.115, No.436, MoNA2015-55, pp.85‒90, 2016年1月 [link]
  5. 藤田 敦, 梅津 高朗, 山口 弘純, 東野 輝夫, 金田 茂, 高井 峰生, 車両間協調による自車周辺エリア内の混雑状況把握, 2015年度 情報処理学会関西支部 支部大会, E‒18, pp.1‒8, 2015年9月 [link]
  6. 藤田 敦, 梅津 高朗, 山口 弘純, 東野 輝夫, 金田 茂, 高井 峰生, 安全運転支援に向けた車車間通信による協調型車両位置推定, 情報処理学会 第49回 高度交通システム (ITS) 研究会,Vol.2012‒ITS‒49, No.5, pp.1‒7, 2012年6月 [link]

Other

Student Member of Information Processing Society of Japan (IPSJ)  2014 April – Present
Research Assistant of Graduate School of Info. and Sci. Tech., Osaka University  2015 April – Present
Exhibition Staff of CPS-IIP project in CEATEC JAPAN 2016   2016 Oct.

Contact

Address  A502, Graduate School of Information Science and Technology, Osaka University,
1-5 Yamadaoka Suita, Osaka, 565-0871, Japan
Affiliation  Graduate School of Information Science and Technology, Osaka University [web]
Cource  Mobile Computing Laboratory (Higashino Lab.) [web]
TEL  +81-6-6879-4557
FAX  +81-6-6879-4559
E-mail  a-fujita[atmark]ist.osaka-u.ac.jp