Improving localization accuracy for autonomous driving in snow-rain environments. - Mohammad Aldibaja; Noaki Suganuma; Keisuke Yoneda (SII, 2016)

Mono-camera based localization using digital map. - Keisuke Yoneda; Ryo Yanase; Mohammad Aldibaja; Naoki Suganuma; Kei Sato (IECON, 2017)

LIDAR-data accumulation strategy to generate high definition maps for autonomous vehicles. - Mohammad Aldibaja; Noaki Suganuma; Keisuke Yoneda (MFI, 2017)

Robust Intensity-Based Localization Method for Autonomous Driving on Snow-Wet Road Surface. - Mohammad Aldibaja; Naoki Suganuma; Keisuke Yoneda (IEEE Trans. Ind. Informatics, 2017)

Digital Map Based Signal State Recognition of Far Traffic Lights with Low Brightness. - Akisue Kuramoto; Junya Kameyama; Ryo Yanase; Mohammad Aldibaja; Keisuke Yoneda; Naoki Suganuma (IECON, 2018)

Lateral Road-mark Reconstruction Using Neural Network for Safe Autonomous Driving in Snow-wet Environments. - Mohammad Aldibaja; Akisue Kuramoto; Reo Yanase; Tae Hyon Kim; Keisku Yonada; Noaki Suganuma (ISR, 2018)

Mono-Camera based 3D Object Tracking Strategy for Autonomous Vehicles. - Akisue Kuramoto; Mohammad A. Aldibaja; Ryo Yanase; Junya Kameyama; Keisuke Yoneda; Naoki Suganuma (Intelligent Vehicles Symposium, 2018)

LIDAR Based Altitude Estimation for Autonomous Vehicles using Elevation Maps. - Ryo Yanase; Mohammad Aldibaja; Akisue Kuramoto; Tae Hyon Kim; Keisuke Yoneda; Naoki Suganuma (Intelligent Vehicles Symposium, 2018)

Trajectory optimization and state selection for urban automated driving. - Keisuke Yoneda; Toshiki Iida; Tae Hyon Kim; Ryo Yanase; Mohammad Aldibaja; Naoki Suganuma (Artif. Life Robotics, 2018)

Accurate Elevation Maps based Graph-Slam Framework for Autonomous Driving. - Mohammad Aldibaja; Ryo Yanase; Tae Hyon Kim; Akisue Kuramoto; Keisuke Yoneda; Noaki Suganuma (IV, 2019)

Mono-camera based vehicle localization using lidar intensity map for automated driving. - Keisuke Yoneda; Ryo Yanase; Mohammad Aldibaja; Naoki Suganuma; Kei Sato (Artif. Life Robotics, 2019)

Loop-Closure and Map-Combiner Detection Strategy based on LIDAR Reflectance and Elevation Maps. - Mohammad Aldibaja; Naoki Suganuma; Ryo Yanase; Lu Cao; Keisuke Yoneda; Akisue Kuramoto (ITSC, 2020)

Reliable Graph-Slam Framework to Generate 2D LIDAR Intensity Maps for Autonomous Vehicles. - Mohammad Aldibaja; Noaki Suganuma; Reo Yanase; Keisuke Yoneda (VTC Spring, 2020)

Robust Traffic Light and Arrow Detection Using Digital Map with Spatial Prior Information for Automated Driving. - Keisuke Yoneda; Akisue Kuramoto; Naoki Suganuma; Toru Asaka; Mohammad Aldibaja; Ryo Yanase (Sensors, 2020)

A Robust Strategy of Map Quality Assessment for Autonomous Driving based on LIDAR Road-Surface Reflectance. - Mohammad Aldibaja; Naoki Suganuma; Lu Cao; Reo Yanase; Keisuke Yoneda (SII, 2021)

Improving Lateral Autonomous Driving in Snow-Wet Environments Based on Road-Mark Reconstruction Using Principal Component Analysis. - Mohammad Aldibaja; Ryo Yanase; Akisue Kuramoto; Tae Hyon Kim; Keisuke Yoneda; Naoki Suganuma (IEEE Intell. Transp. Syst. Mag., 2021)

Graph SLAM-Based 2.5D LIDAR Mapping Module for Autonomous Vehicles. - Mohammad Aldibaja; Naoki Suganuma (Remote. Sens., 2021)

On LIDAR Map Combination: A Graph Slam Module to Generate Accurate and Largescale Maps for Autonomous Driving. - Mohammad Aldibaja; Naoki Suganuma; Ryo Yanase; Keisuke Yoneda; Lu Cao (AIM, 2022)

On Mapping in Multilayer Environments: A Robust Graph-SLAM Approach Using LIDAR Intensity and Elevation Data. - Mohammad Aldibaja; Naoki Suganuma; Reo Yanase (ITSC, 2022)

2.5D Layered Sub-Image LIDAR Maps for Autonomous Driving in Multilevel Environments. - Mohammad Aldibaja; Naoki Suganuma; Ryo Yanase (Remote. Sens., 2022)

Challenging Environments for Precise Mapping Using GNSS/INS-RTK Systems: Reasons and Analysis. - Mohammad Aldibaja; Naoki Suganuma; Keisuke Yoneda; Ryo Yanase (Remote. Sens., 2022)

LiDAR- and Radar-Based Robust Vehicle Localization with Confidence Estimation of Matching Results. - Ryo Yanase; Daichi Hirano; Mohammad Aldibaja; Keisuke Yoneda; Naoki Suganuma (Sensors, 2022)

Waypoint Transfer Module between Autonomous Driving Maps Based on LiDAR Directional Sub-Images. - Mohammad Aldibaja; Ryo Yanase; Naoki Suganuma (Sensors, 2024)