ALDIBAJA Mohammad Aldibaja Mohammad

Researcher Number	10868219
Other IDs
Affiliation (based on the past Project Information) *help	2021 – 2023: 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 SLAM in Multilevel Roads / 2.5D Elevation Maps / Largescal Map Generation / LIDAR Mapping Systems / LIDAR / Mapping Systems / Autonomous Vehicles / Graph SLAM / 2.5D Maps / Elevation Maps … More / SLAM / Mapping System / LIDAR SLAM / 2D Intensity Maps / LIDAR Maps / Graph Slam Less

Research Projects
(2 results)
Research Products
(12 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 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61050:Intelligent robotics-related
- Research Institution
  Kanazawa University

All 2024 2022 2021 2020

All Journal Article Presentation

[Journal Article] Waypoint Transfer Module between Autonomous Driving Maps Based on LiDAR Directional Sub-Images2024
- Author(s)
  Aldibaja Mohammad、Yanase Ryo、Suganuma Naoki
- Journal Title
  
  Sensors
  
  Volume: 24 Issue: 3 Pages: 875-875
- DOI
  10.3390/s24030875
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17974
[Journal Article] 2.5D Layered Sub-Image LIDAR Maps for Autonomous Driving in Multilevel Environments2022
- Author(s)
  Mohammad Aldibaja and Noaki Suganuma and Reo Yanase
- Journal Title
  
  Sensor (Remote Sensing)
  
  Volume: 14 Issue: 22 Pages: 1-18
- DOI
  10.3390/rs14225847
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17974
[Journal Article] Challenging Environments for Precise Mapping Using GNSS/INS-RTK Systems: Reasons and Analysis2022
- Author(s)
  Mohammad Aldibaja and Noaki Suganuma, Keisuke Yoneda and Reo Yanase
- Journal Title
  
  Sensor (Remote Sensing)
  
  Volume: 14 Issue: 16 Pages: 1-19
- DOI
  10.3390/rs14164058
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17974, KAKENHI-PROJECT-20K19893
[Journal Article] Graph SLAM-Based 2.5D LIDAR Mapping Module for Autonomous Vehicles2021
- Author(s)
  Mohammad Aldibaja and Noaki Suganuma
- Journal Title
  
  Sensor (Remote Sensing)
  
  Volume: 13 Issue: 24 Pages: 1-16
- DOI
  10.3390/rs13245066
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19893
[Presentation] On Mapping in Multilayer Environments: A Robust Graph-SLAM Approach Using LIDAR Intensity and Elevation Data2022
- Author(s)
  Mohammad Aldibaja, Reo Yanase and Naoki Suganuma
- Organizer
  The 25th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2022)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17974
[Presentation] On LIDAR Map Combination: A Graph Slam Module to Generate Accurate and Largescale Maps for Autonomous Driving2022
- Author(s)
  Mohammad Aldibaja, Naoki Suganuma, Reo Yanase
- Organizer
  2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17974
[Presentation] “On LIDAR Map Combination: A Graph Slam Module to Generate Accurate and Largescale Maps for Autonomous Driving2022
- Author(s)
  Mohammad Aldibaja, Naoki Suganuma, Reo Yanase, Keisuke Yoneda and Lu Cao
- Organizer
  2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19893
[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] LIDAR Graph SLAM based Autonomous Vehicle Maps using XY and Yaw Dead-Reckoning Measurements2021
- Author(s)
  Mohammad Aldibaja, Reo Yanase, Naoki Suganuma, Takahiro Furuya and Akitaka Oko
- Organizer
  2021 IEEE International Conference on Mechatronics and Automation (ICMA)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19893
[Presentation] Challenging Mapping Environments For GNSS/INS-RTK Systems and Necessity of SLAM Technology2021
- Author(s)
  Mohammad Aldibaja, Naoki Suganuma, Lu Cao, Keisuke Yoneda and Reo Yanase
- Organizer
  2021 6th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
- Int'l Joint Research
- 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

ALDIBAJA Mohammad Aldibaja Mohammad

Research Projects

Research Products

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

Project Period (FY)

Research Category

Review Section

Research Institution

A Study on Generating Accurate and Largescale LIDAR Maps Based on Graph-Slam Technology for Autonomous VehiclesPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Waypoint Transfer Module between Autonomous Driving Maps Based on LiDAR Directional Sub-Images2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 2.5D Layered Sub-Image LIDAR Maps for Autonomous Driving in Multilevel Environments2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Challenging Environments for Precise Mapping Using GNSS/INS-RTK Systems: Reasons and Analysis2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Graph SLAM-Based 2.5D LIDAR Mapping Module for Autonomous Vehicles2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] On Mapping in Multilayer Environments: A Robust Graph-SLAM Approach Using LIDAR Intensity and Elevation Data2022

Author(s)

Organizer

Data Source

[Presentation] On LIDAR Map Combination: A Graph Slam Module to Generate Accurate and Largescale Maps for Autonomous Driving2022

Author(s)

Organizer

Data Source

[Presentation] “On LIDAR Map Combination: A Graph Slam Module to Generate Accurate and Largescale Maps for Autonomous Driving2022

Author(s)

Organizer

Data Source

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

Author(s)

Organizer

Data Source

[Presentation] LIDAR Graph SLAM based Autonomous Vehicle Maps using XY and Yaw Dead-Reckoning Measurements2021

Author(s)

Organizer

Data Source

[Presentation] Challenging Mapping Environments For GNSS/INS-RTK Systems and Necessity of SLAM Technology2021

Author(s)

Organizer

Data Source

[Presentation] Reliable Graph-Slam Framework to Generate 2D LIDAR Intensity Maps for Autonomous Vehicles2020

Author(s)

Organizer

Data Source

[Presentation] Loop-Closure and Map-Combiner Detection Strategy based on LIDAR Reflectance and Elevation Maps2020

Author(s)

Organizer

Data Source