Mohammad Aldibaja

Orcid: 0000-0002-1764-6380

According to our database1, Mohammad Aldibaja authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Waypoint Transfer Module between Autonomous Driving Maps Based on LiDAR Directional Sub-Images.
Sensors, February, 2024

2022
LiDAR- and Radar-Based Robust Vehicle Localization with Confidence Estimation of Matching Results.
Sensors, 2022

Challenging Environments for Precise Mapping Using GNSS/INS-RTK Systems: Reasons and Analysis.
Remote. Sens., 2022

2.5D Layered Sub-Image LIDAR Maps for Autonomous Driving in Multilevel Environments.
Remote. Sens., 2022

On Mapping in Multilayer Environments: A Robust Graph-SLAM Approach Using LIDAR Intensity and Elevation Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

On LIDAR Map Combination: A Graph Slam Module to Generate Accurate and Largescale Maps for Autonomous Driving.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021
Graph SLAM-Based 2.5D LIDAR Mapping Module for Autonomous Vehicles.
Remote. Sens., 2021

Improving Lateral Autonomous Driving in Snow-Wet Environments Based on Road-Mark Reconstruction Using Principal Component Analysis.
IEEE Intell. Transp. Syst. Mag., 2021

A Robust Strategy of Map Quality Assessment for Autonomous Driving based on LIDAR Road-Surface Reflectance.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

2020
Robust Traffic Light and Arrow Detection Using Digital Map with Spatial Prior Information for Automated Driving.
Sensors, 2020

Reliable Graph-Slam Framework to Generate 2D LIDAR Intensity Maps for Autonomous Vehicles.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Loop-Closure and Map-Combiner Detection Strategy based on LIDAR Reflectance and Elevation Maps.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Mono-camera based vehicle localization using lidar intensity map for automated driving.
Artif. Life Robotics, 2019

Accurate Elevation Maps based Graph-Slam Framework for Autonomous Driving.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018
Trajectory optimization and state selection for urban automated driving.
Artif. Life Robotics, 2018

LIDAR Based Altitude Estimation for Autonomous Vehicles using Elevation Maps.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Mono-Camera based 3D Object Tracking Strategy for Autonomous Vehicles.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Lateral Road-mark Reconstruction Using Neural Network for Safe Autonomous Driving in Snow-wet Environments.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2018

Digital Map Based Signal State Recognition of Far Traffic Lights with Low Brightness.
Proceedings of the IECON 2018, 2018

2017
Robust Intensity-Based Localization Method for Autonomous Driving on Snow-Wet Road Surface.
IEEE Trans. Ind. Informatics, 2017

LIDAR-data accumulation strategy to generate high definition maps for autonomous vehicles.
Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017

Mono-camera based localization using digital map.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Improving localization accuracy for autonomous driving in snow-rain environments.
Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016


  Loading...