Exploring FSCNN + Focal Loss: A Faster Alternative for Road Marking Classification on Mobile LIDAR Sparse Point Cloud Derived Images. - Miguel Luis Rivera Lagahit; Masashi Matsuoka (IGARSS, 2022)

Design of Mobility-Aware Map Partition and Distribution System for Smooth Automated Driving. - Zongdian Li; Miguel Luis Rivera Lagahit; Masashi Matsuoka; Kei Sakaguchi (PIMRC, 2022)

D-Fast-SCNN + Combo Loss: Improved Road Marking Extraction on Mobile Lidar Sparse Point Cloud-Derived Images. - Miguel Luis Rivera Lagahit; Masashi Matsuoka (IGARSS, 2023)

Focal Combo Loss for Improved Road Marking Extraction of Sparse Mobile LiDAR Scanning Point Cloud-Derived Images Using Convolutional Neural Networks. - Miguel Luis Rivera Lagahit; Masashi Matsuoka (Remote. Sens., 2023)

Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery. - Miguel Luis Rivera Lagahit; Xin Liu 020; Haoyi Xiu; Taehoon Kim; Kyoung-Sook Kim 001; Masashi Matsuoka (Remote. Sens., 2024)