A. K. Aijazi and P. Checchin, Building Fast Dynamic 3D maps for Trajectory Planning of Autonomous Ground Vehicles using Non-Repetitive Scanning LiDAR Sensor, IEEE Access, 2025, (JCR), (Impact Factor : 3.4)
A. K. Aijazi and P. Checchin, Non-Repetitive Scanning LiDAR Sensor for Robust 3D Point Cloud Registration in Localization and Mapping Applications. Sensors 2023, 24,378, doi:10.3390/s24020378. (JCR), (Impact Factor : 3.9)
A. K. Aijazi, L. Malaterre and L. Trassoudaine, T. Chateau and P. Checchin. Automatic Detection and Modeling of Underground Pipes Using a Portable 3D LiDAR System. Sensors, Dec 2019, 19, 5345. doi:10.3390/s19245345. (Impact Factor : 3.9)
A. K. Aijazi, P. Checchin, L. Malaterre and L. Trassoudaine. Automatic Detection and Parameter Estimation of Trees for Forest Inventory Applications Using 3D Terrestrial LiDAR. Remote Sens. 2017, 9, 946. https://doi.org/10.3390/rs9090946. (Impact Factor : 5.0)
A. K. Aijazi, P.Checchin, and L.Trassoudaine,“Automatic detection and feature estimation of windows in 3D urban point clouds exploiting facade symmetry and temporal correspondences ”, International Journal of Remote Sensing, (JCR), vol. 35, no. 22, pp. 7726–7748, 2014. https://doi.org/10.1080/01431161.2014.975420. (Impact Factor : 3.6)
A. K. Aijazi, P. Checchin, and L. Trassoudaine,“Automatic Removal of Imperfections and Change Detection for Accurate 3D Urban Cartography by Classification and Incremental Updating,” Remote Sensing, vol. 5, no. 8, pp. 3701-3728, 2013, (JCR), issn: 2072-4292. doi:10.3390/rs5083701. [Online]. Available: http://www.mdpi.com/2072-4292/5/8/3701. (Impact Factor : 5.0)
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach,” Remote Sensing, vol. 5, no. 4, pp. 1624–1650, 2013, (JCR). doi:10.3390 / rs5041624. [Online]. Available: http://www.mdpi.com/2072-4292/5/4/1624. (Impact Factor : 5.0)
A.K. Aijazi, A. Serna, B. Marcotegui, P. Checchin and L. Trassoudaine. "Segmentation and Classification of 3D Urban Point Clouds: Comparison and Combination of Two Approaches." In Field and Service Robotics, pp. 201-216. Springer International Publishing, 2016.
A. K. Aijazi, P. Checchin, and L. Trassoudaine (2015). “Intelligent Autonomous Systems – Springer.” In: Springer (In press). Chap. Automatic Detection and Feature Estimation of Windows from Mobile Terrestrial LiDAR Data.
A. K. Aijazi, Paul Checchin, and Laurent Trassoudaine (2014). “Field and Service Robotics – Springer Tracts in Advanced Robotics.” In: ed. by K. Yoshida and S. Tadokoro. Vol. 92. Springer. Chap. A Super-Voxel Based Segmentation and Classification Method for 3D Urban Landscapes with Evaluation and Comparison, pp. 511–526.
A. K. Aijazi and P. Checchin,, “Robust 3D Point cloud Registration Exploiting Unique LiDAR Scanning Pattern” Inter. Conf. on Pattern Recognition, Applications and Method (ICPRAM), Rome, Feb. 2024.
A. K. Aijazi, L. Malaterre, L. Trassoudaine, and P. Checchin. "Systematic evaluation and characterization of 3D solid state lidar sensors for autonomous ground vehicles." The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 43 (2020): 199-203.
Negin, F., A. K. Aijazi, L. Trassoudaine, and Paul Checchin. "3D OBJECT DETECTION BY FEATURE AGGREGATION USING POINT CLOUD INFORMATION FOR FACTORY OF THE FUTURE." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2 (2020): 893-900.
A. K. Aijazi, Checchin, P., & Trassoudaine, L. Multi sensorial data fusion for efficient detection and tracking of road obstacles for inter-distance and anti-colision safety management. In 2017 IEEE 3rd International Conference on Control, Automation and Robotics (ICCAR) (pp. 617-621).
A. K. Aijazi, L. Malaterre, M. L. Tazir, L. Trassoudaine and P. Checchin, “Detecting and Analyzing Corrosion Spots On The Hull Of Large Marine Vessels Using Colored 3d LiDAR Point Clouds in the Annals of XXIII Congress of International Society for Photogrammetry and Remote Sensing (ISPRS16) (oral presentation), Prague, Czech Republic, July 2016.
A. K. Aijazi, P. Checchin, L. Malaterre and L. Trassoudaine, “Automatic Detection of Vehicles at Road Intersections using a Compact 3D Velodyne Sensor Mounted on Traffic Signals” in IEEE Intelligent Vehicles Symposium (IV), Gothenburg, Sweden, June 2016.
A. K. Aijazi, A. Serna, B. Marcotegui, P. Checchin and L. Trassoudaine, “Segmentation and Classification of 3D Urban Point Clouds: Comparison and Combination of Two Approaches” in The 9th Inter. Conf. on Field and Service Robots (FSR), Toronto, Canada, Jul. 2015.
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Automatic Detection and Feature Estimation of Windows for Refining Building Façades in 3D Urban Point Clouds” in Inter. Conf. on Photogrammetry Computer Vision (PCV), ETH Zürich, Switzerland, Sep.. 2014.
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Automatic Detection and Feature Estimation of Windows from Mobile Terrestrial LiDAR Data” in The 13th Inter. Conf. on Intelligent Autonomous Systems (IAS-13), Padova, Italy, Jul. 2014.
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Automatic Change Detection and Incremental Updating for Accurate 3D Urban Cartography,” in The 16th IEEE Inter. Conf. on Intelligent Transportation Systems (ITSC), The Hague, Netherlands, Oct. 2013. Best Student Paper Award sponsored by IEEE ITS - International Transportation Society
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Detecting and Updating Changes in LiDAR Point Clouds for Automatic 3D Urban Cartography,” in Laser Scanning 2013 ISPRS Workshop, Antalya, Turkey, Nov. 2013. Best Poster Award sponsored by IAPR – International Association of Pattern Recognition
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Automatic Update and Completion of Occluded Regions for Accurate 3D Urban Cartography by Combining Multiple Views and Multiple Passages,” in Int. Conf. on Pattern Recognition, Applications and Methods, Barcelona, Spain, Feb. 2013.
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Handling Occlusions for Accurate 3D Urban Cartography: A new Approach based on Characterization and Multiple Passages,” in International Conference on 3D Imaging, Modeling, Processing, Visualization, Transmissions (3DIMPVT), ETH Zürich, Switzerland, Oct. 2012.
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “A Super-Voxel Based Segmentation and Classification Method for 3D Urban Landscapes with Evaluation and Comparison,” in The 8th Inter. Conf. on Field and Service Robots (FSR), Matsushima, Japan, Jul. 2012.
A. K. Aijazi, P. Checchin, and L. Trassoudaine, “Classification of 3D Urban Scenes – A Voxel Based Approach,” in Int. Conf. on Pattern Recognition, Applications and Methods, Vilamoura, Portugal, Feb. 2012, pp. 61–70. doi: 10.5220/0003733100610070.
A. K. Aijazi, P. Checchin et L. Trassoudaine, « Cartographie urbaine 3D : détection et analyse des évolutions de l’environnement pour la mise à jour automatique », in Actes du dix-neuvième congrès francophone AFRIF-RFIA, Rouen, France, juin 2014.
A. K. Aijazi, P. Checchin et L. Trassoudaine, « Segmentation et classification de points 3D obtenus à partir de relevés laser terrestres : une approche par supervoxels », in Actes du dix-huitième congrès francophone AFRIF-RFIA, Lyon, France, jan. 2012.
Patent national and international : « ROMAPE VIEWER: Procédé d’inspection d’une surface » BNT221380FR00 - A. K. Aijazi, P. Checchin, L. Malaterre et L. Trassoudaine
Code à l’APP (Agence pour la Protection des Programmes): Romape Viewer, A. K. Aijazi, P. Checchin, L. Malaterre and L. Trassoudaine, APP: IDDN.FR.001. 120022.000.S.P.2017.000.41100