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Aldibaja Mohammad  Aldibaja Mohammad

ORCIDConnect your ORCID iD *help
Researcher Number 10868219
Other IDs
Affiliation (Current) 2022: 金沢大学, 高度モビリティ研究所, 特任助教
Affiliation (based on the past Project Information) *help 2022: 金沢大学, 高度モビリティ研究所, 特任助教
2020: 金沢大学, 新学術創成研究機構, 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 61050:Intelligent robotics-related
Keywords
Principal Investigator
Autonomous Vehicles / Graph Slam / LIDAR Maps / Mapping Systems / 2D Intensity Maps / LIDAR SLAM / Mapping System / SLAM / Elevation Maps / LIDAR … More / SLAM in Multilevel Roads / LIDAR Mapping Systems / Largescal Map Generation / 2.5D Elevation Maps Less
  • Research Projects

    (2 results)
  • Research Products

    (3 results)
  •  On Multilevel Road Mapping for Autonomous Vehicles: A Study to Generate Accurate 2.5D LIDAR Maps Using Graph SLAM in Challenging EnvironmentsPrincipal Investigator

    • Principal Investigator
      Aldibaja Mohammad
    • Project Period (FY)
      2022 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61050:Intelligent robotics-related
    • Research Institution
      Kanazawa University
  •  A Study on Generating Accurate and Largescale LIDAR Maps Based on Graph-Slam Technology for Autonomous VehiclesPrincipal Investigator

    • Principal Investigator
      Aldibaja Mohammad
    • Project Period (FY)
      2020 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61050:Intelligent robotics-related
    • Research Institution
      Kanazawa University

All 2021 2020

All Presentation

  • [Presentation] A Robust Strategy of Map Quality Assessment for Autonomous Driving based on LIDAR Road-Surface Reflectance2021

    • Author(s)
      Mohammad Aldibaja
    • Organizer
      The 2021 IEEE/SICE International Symposium on System Integration
    • Data Source
      KAKENHI-PROJECT-20K19893
  • [Presentation] Reliable Graph-Slam Framework to Generate 2D LIDAR Intensity Maps for Autonomous Vehicles2020

    • Author(s)
      Mohammad Aldibaja
    • Organizer
      The 2020 IEEE 91st Vehicular Technology Conference: VTC2020-Spring, 2020.
    • Data Source
      KAKENHI-PROJECT-20K19893
  • [Presentation] Loop-Closure and Map-Combiner Detection Strategy based on LIDAR Reflectance and Elevation Maps2020

    • Author(s)
      Mohammad Aldibaja
    • Organizer
      IEEE Intelligent Transportation Systems Conference 2020
    • Data Source
      KAKENHI-PROJECT-20K19893

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