Research field (5):
Measurement engineering
, Mechanics and mechatronics
, Robotics and intelligent systems
, Intelligent robotics
, Perceptual information processing
Research keywords (3):
自動運転自動車
, 運転支援システム
, 高度道路交通システム
Research theme for competitive and other funds (13):
2020 - 2023 公道自動運転におけるミクロ・マクロな特徴を用いた交通参加者の行動予測
2017 - 2020 Development of a fully automatic driving system that enables natural driving at urban intersections
2014 - 2018 Active safety sensing system supporting elderly driver of micro mobility
2012 - 2015 Development of dependable autonomous vehicle system
2011 - 2013 Dependable environment sensing system for personal mobility robot
2008 - 2010 Development safe, secure, and reliable Plug-and-Play type localization method
2008 - 無人自動運転・隊列走行
2008 - autonomous driving and platooning
2004 - 2006 地図情報と三次元環境情報の融合による自動車の能動的運転支援の実現
2005 - ビジョンシステムに基づく自動車周辺環境認識
2005 - Environmental Perception base on Vision System
2002 - 2002 ビジョンシステムを用いた自動車の自動追尾走行の実現
2002 - ITS(特に自動車の自動運転および安全運転支援)
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Papers (70):
Keisuke Yoneda, Amane Kinoshita, Yusuke Takahashi, Tadashi Okuno, Lu Cao, Naoki Suganuma. Supervised vehicle trajectory prediction using orthogonal image map for urban automated driving. Artif. Life Robotics. 2023. 28. 2. 343-351
Akisue Kuramoto, Hotsuyuki Kawanishi, Ryo Yanase, Keisuke Yoneda, Naoki Suganuma. Effect of Road Markings Wear on Accuracy of ZNCC-Based Map Matching. International Journal of Automotive Engineering. 2023. 14. 1. 20-26
Mohammad Aldibaja, Naoki Suganuma, Keisuke Yoneda, Ryo Yanase. Challenging Environments for Precise Mapping Using GNSS/INS-RTK Systems: Reasons and Analysis. Remote Sensing. 2022. 14. 16. 4058-4058
Suganuma Naoki, Yoneda Keisuke, Yanase Ryo, Kuramoto Akisue, Yamashita Takayoshi, Fujiyoshi Hironobu, Meguro Junichi. 2) Research on the Recognition Technology Required for Automated Driving Technology (Levels 3 and 4). SIP Results Report. 2022. 2022. 1. 120-128
Mohammad Aldibaja, Naoki Suganuma, Ryo Yanase, Keisuke Yoneda, Lu Cao. On LIDAR Map Combination: A Graph Slam Module to Generate Accurate and Largescale Maps for Autonomous Driving. AIM. 2022. 736-743