論文

• Miguel Luis Lagahit, Masashi Matsuoka. Focal Combo Loss for Improved Road Marking Extraction of Sparse Mobile LiDAR Scanning Point Cloud-Derived Images Using Convolutional Neural Networks, Remote Sensing, Vol. 15, No. 3, 597, Jan. 2023.

国際会議発表 (査読有り)

• Miguel LAGAHIT, Masashi MATSUOKA. Investigating Loss Functions for Segmenting and Detecting Ships on SAR Imagery, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLVIII-4/W8-2023, pp. 321-326, Apr. 2024.
• Miguel Luis Lagahit, Zongdian Li, Kei Sakaguchi, Masashi Matsuoka. Exploring Ground Segmentation From LiDAR Scanning-Derived Images Using Convolutional Neural Networks, Int. Archives Photogrammetry, Remote Sensing and Spatial Information Scieinces XLVIII-1/W1-2023, Proceedings of 12th International Symposium on Mobile Mapping Technology (MMT 2023), pp. 221-226, May 2023.
• Zongdian Li, Miguel Luis Lagahit, Masashi Matsuoka, Kei Sakaguchi. Design of Mobility-Aware Map Partition and Distribution System for Smooth Automated Driving, 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Proceedings of 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2022.
• Miguel Luis Lagahit, Masashi MATSUOKA. Exploring FSCNN + Focal Loss: A Faster Alternative for Road Marking Classification on Mobile LIDAR Sparse Point Cloud Derived Images, IEEE International Geoscience and Remote Sensing Symposium 2022, Proceedings of International Geoscience and Remote Sensing Symposium 2022, pp. 3135-3138, July 2022.
• Miguel Luis Lagahit, Masashi Matsuoka. BOOSTING U-NET WITH FOCAL LOSS FOR ROAD MARKING CLASSIFICATION ON SPARSE MOBILE LIDAR POINT CLOUD DERIVED IMAGES, International Society for Photogrammetry and Remote Sensing (ISPRS) Congress 2022, International Society for Photogrammetry and Remote Sensing (ISPRS) Annals, Volume V-5-2022, Page 33-38, May 2022.

国際会議発表 (査読なし・不明)

• Miguel Luis Lagahit, Masashi MATSUOKA. Modifying Focal Combo Loss: Investigating the Effects of the Log-Cosh Approach for Road Marking Extraction on Sparse Mobile LiDAR Scanning Point Cloud-Derived Imagery, International Symposium on Remote Sensing 2023 & UAV-g 2023, Proceedings of International Symposium on Remote Sensing 2023 & UAV-g 2023, pp. 102-105, May 2023.
• Miguel Luis Lagahit, Masashi MATSUOKA. Improving Classification on Sparse Mobile LiDAR Point Cloud Rerived Images by Merging Results of Multiple Class Dedicated Neural Network Models Trained with Focal Loss, International Symposium on Remote Sensing 2022, Proceedings of International Symposium on Remote Sensing 2022, pp. 94-97, May 2022.
• Miguel Luis Lagahit, Masashi MATSUOKA. gpkg2lanelet v1.0: A Python-Based Conversion Tool that Converts HD Map Vector Primitives from Geopackage Format to Lanelet2 Format, International Symposium on Applied Geoinformatics, Proceedings of International Symposium on Applied Geoinformatics, Dec. 2021.

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