古 艶磊YANLEI GU

Last Updated :2024/10/08

所属・職名
大学院先進理工系科学研究科　准教授
ホームページ
https://scholar.google.co.jp/citations?user=2vLFO00AAAAJ&hl=en
https://sites.google.com/view/guyanlei
メールアドレス
guyanleihiroshima-u.ac.jp
自己紹介
Yanlei Gu received his Ph.D. from Nagoya University. He has been a postdoctoral researcher at the University of Tokyo and a lecturer at Ritsumeikan University. He became an associate professor at Hiroshima University in 2024. His research interests include Autonomous Driving, Intelligent Transportation Systems, Machine Learning, Image Processing, and Data Mining.

基本情報

主な職歴

  • 2024年04月01日, Hiroshima University, Graduate School of Advanced Science and Engineering, Associate Professor
  • 2019年04月01日, 2024年03月31日, Ritsumeikan University, College of Information Science and Engineering, Lecturer
  • 2013年09月01日, 2019年03月31日, The University of Tokyo, Institute of Industrial Science, Post-doctoral researcher

学位

  • 修士（工学）　(ハルビン理工大学)
  • 博士（工学）　(名古屋大学)

研究キーワード

  • Autonomous Driving, Intelligent Transportation Systems, Machine Learning, Image Processing, and Data Mining

教育活動

授業担当

  1. 2024年, 学部専門, １ターム, インフォマティクスセミナーI
  2. 2024年, 学部専門, ２ターム, インフォマティクスセミナーII
  3. 2024年, 学部専門, セメスター（後期）, 卒業論文
  4. 2024年, 修士課程・博士課程前期, １ターム, 情報科学特別演習A
  5. 2024年, 修士課程・博士課程前期, ２ターム, 情報科学特別演習A
  6. 2024年, 修士課程・博士課程前期, ３ターム, 情報科学特別演習B
  7. 2024年, 修士課程・博士課程前期, ４ターム, 情報科学特別演習B
  8. 2024年, 修士課程・博士課程前期, 年度, 情報科学特別研究

研究活動

学術論文（★は代表的な論文）

  1. High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas, International Journal of Automotive Technology, 2023
    DOIを用いた論文検索結果へのリンク
  2. Cyclist Orientation Estimation Using LiDAR Data, Sensors, 2023
    DOIを用いた論文検索結果へのリンク
  3. Detection of Cyclist's Crossing Intention based on Posture Estimation for Autonomous Driving, IEEE Sensors Journal, 2023
    DOIを用いた論文検索結果へのリンク
  4. Mapping for Autonomous Driving: Opportunities and Challenges, IEEE Intelligent Transportation Systems Magazine, 2021
    DOIを用いた論文検索結果へのリンク
  5. Pedestrian Detection Using Multispectral Images and a Deep Neural Network, Sensors, 2021
    DOIを用いた論文検索結果へのリンク
  6. AR-Based Navigation Using RGB-D Camera and Hybrid Map, Sustainability, 2021
    DOIを用いた論文検索結果へのリンク
  7. Modeling Required Driver Attention Level Based on Environmental Risk Factors Using Deep Convolutional Neural Networks, The International Journal of Automotive Engineering, 2021
    DOIを用いた論文検索結果へのリンク
  8. Integration of Positioning and Activity Context Information for Lifelog in Urban City Area, Journal of the Institute of Navigation, 2020
    DOIを用いた論文検索結果へのリンク
  9. Multi-Person Pose Estimation using an Orientation and Occlusion Aware Deep Learning Network, Sensors, 2020
    DOIを用いた論文検索結果へのリンク
  10. Prediction of Stock Performance Using Deep Neural Networks, Applied Sciences, 2020
    DOIを用いた論文検索結果へのリンク
  11. Pre-Estimating Self-Localization Error of NDT-Based Map-Matching from Map Only, IEEE Transactions on Intelligent Transportation Systems, 2020
    DOIを用いた論文検索結果へのリンク
  12. Autonomous Vehicle Self-localization based on Abstract Map and Multi-Channel LiDAR in Urban Area, IATSS Research, 2019
    DOIを用いた論文検索結果へのリンク
  13. Intelligent Driving Data Recorder in Smartphone Using Deep Neural Network-Based Speedometer and Scene Understanding, IEEE Sensors Journal, 2019
    DOIを用いた論文検索結果へのリンク
  14. Customer Pose Estimation Using Orientational Spatio-Temporal Network from Surveillance Camera, Multimedia Systems, 2018
    DOIを用いた論文検索結果へのリンク
  15. Integral Customer Pose Estimation Using Body Orientation and Visibility Mask, Multimedia Tools and Applications, 2018
    DOIを用いた論文検索結果へのリンク
  16. GNSS Correction Using Altitude Map and Its Integration with Pedestrian Dead Reckoning, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2018
    DOIを用いた論文検索結果へのリンク
  17. Vehicle Localization System in Urban Scenario with Three-Dimensional City Map, International Journal of Automotive Engineering, 2018
    DOIを用いた論文検索結果へのリンク
  18. Towards Lane-level Traffic Monitoring in Urban Environment using Precise Probe Vehicle Data Derived from Three-Dimensional Map aided Differential GNSS, IATSS Research, 2018
    DOIを用いた論文検索結果へのリンク
  19. Factors to Evaluate Capability of Map for Vehicle Localization, IEEE Access, 2018
    DOIを用いた論文検索結果へのリンク
  20. Optimization of 3D Building Models by GPS Measurements, GPS Solutions, 2017
    DOIを用いた論文検索結果へのリンク
  21. Multiple Faulty GNSS Measurement Exclusion based on Consistency Check in Urban Canyons, IEEE Sensors Journal, 2017
    DOIを用いた論文検索結果へのリンク
  22. Customer Behavior Classification using Surveillance Camera for Marketing, Multimedia Tools and Applications, 2017
    DOIを用いた論文検索結果へのリンク
  23. Intelligent Viaduct Recognition and Driving Altitude Determination using GPS Data, IEEE Transactions on Intelligent Vehicles, 2017
    DOIを用いた論文検索結果へのリンク
  24. Human-like Motion Planning Model for Driving in Signalized Intersections, IATSS Research, 2017
    DOIを用いた論文検索結果へのリンク
  25. Towards High-Definition 3D Urban Mapping: Road Feature-Based Registration of Mobile Mapping Systems and Aerial Imagery, Remote Sensing, 2017
    DOIを用いた論文検索結果へのリンク
  26. Vehicle Localization Based on Global Navigation Satellite System Aided by Three-Dimensional Map, Transportation Research Record: Journal of the Transportation Research Board, 2017
    DOIを用いた論文検索結果へのリンク
  27. Accurate Estimation of Pedestrian Orientation from On-board Camera and Inertial Sensors, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2016
    DOIを用いた論文検索結果へのリンク
  28. Estimation of Pedestrian Pose and Orientation Using On-Board Camera with Histograms of Oriented Gradients Feature, International Journal of Intelligent Transportation Systems Research, 2016
    DOIを用いた論文検索結果へのリンク
  29. 3D Building Model based Pedestrian Positioning Method using GPS/GLONASS/QZSS and Its Reliability Calculation, GPS Solutions, 2016
    DOIを用いた論文検索結果へのリンク
  30. GNSS/On-Board Inertial Sensor Integration with the Aid of 3D Building Map for Lane-Level Vehicle Self-Localization in Urban Canyon, IEEE Transactions on Vehicular Technology, 2016
    DOIを用いた論文検索結果へのリンク
  31. Database Calibration for Outdoor Wi-Fi Positioning System, IEICE Transections on Fundamentals of Electronics, Communications and Computer Sciences, 2016
    DOIを用いた論文検索結果へのリンク
  32. Integrating Global Navigation Satellite System and Road Marking Detection for Vehicle Localization in Urban Traffic, Transportation Research Record: Journal of the Transportation Research Board, 2016
    DOIを用いた論文検索結果へのリンク
  33. A Probabilistic Model of Pedestrian Crossing Behavior at Signalized Intersections for Connected Vehicles, Transportation Research Part C: Emerging Technologies, 2016
    DOIを用いた論文検索結果へのリンク
  34. Autonomous Vehicle Technologies: Localization and Mapping, IEICE Fundamentals Review, 2015
    DOIを用いた論文検索結果へのリンク
  35. NLOS Correction/Exclusion for GNSS Measurement Using RAIM and City Building Models, Sensors, 2015
    DOIを用いた論文検索結果へのリンク
  36. Bicyclist Recognition and Orientation Estimation from On-board Vision System, International Journal of Automotive Engineering, 2015
    DOIを用いた論文検索結果へのリンク
  37. Urban Pedestrian Navigation using Smartphone-based Dead Reckoning and 3D Maps Aided GNSS, IEEE Sensors Journal, 2015
    DOIを用いた論文検索結果へのリンク
  38. Passive Sensor Integration for Vehicle Self-Localization in Urban Traffic Environment, Sensors, 2015
    DOIを用いた論文検索結果へのリンク
  39. Traffic Sign Recognition with Invariance to Lighting in Dual-Focal Active Camera System, IEICE Transactions on Information and Systems, 2012
    DOIを用いた論文検索結果へのリンク
  40. Traffic Sign Recognition Using Hybrid Camera System, The Institute of Image Information and Television Engineers, 2011
    DOIを用いた論文検索結果へのリンク

招待講演、口頭・ポスター発表等

  1. Smartphone-Based Positioning Using Graph Map for Indoor Environment, Woranipit Chidsin, Yanlei Gu, Igor Goncharenko, 2023 IEEE 12th Global Conference on Consumer Electronics, 2023年, Nara, Japan
  2. Cyclist Intention Estimation at Signalized Intersections Using Deep Neural Networks, Yanlei Gu, Yun Song, Igor Goncharenko, 2023 IEEE 12th Global Conference on Consumer Electronics, 2023年, Nara, Japan