MFSA-Net: Semantic Segmentation With Camera-LiDAR Cross-Attention Fusion Based on Fast Neighbor Feature Aggregation by Yijian Duan, Liwen Meng, Yanmei Meng, Jihong Zhu, Jiacheng Zhang, Jinlai Zhang, Xin Liu

Subjects: Get full text

A tree crown edge-aware clipping algorithm for airborne LiDAR point clouds by Shangshu Cai, Yong Pang

Subjects: Get full text

PVI-Net: Point–Voxel–Image Fusion for Semantic Segmentation of Point Clouds in Large-Scale Autonomous Driving Scenarios by Zongshun Wang, Ce Li, Jialin Ma, Zhiqiang Feng, Limei Xiao

Subjects: Get full text

A Scalable and Accurate De-Snowing Algorithm for LiDAR Point Clouds in Winter by Weiqi Wang, Xiong You, Lingyu Chen, Jiangpeng Tian, Fen Tang, Lantian Zhang

Subjects: Get full text

Urban vegetation segmentation using terrestrial LiDAR point clouds based on point non-local means network by Yiping Chen, Rongren Wu, Chengzhe Yang, Yaojin Lin

Subjects: Get full text

Automatic Extraction of Road Points from Airborne LiDAR Based on Bidirectional Skewness Balancing by Jorge Martínez Sánchez, Francisco Fernández Rivera, José Carlos Cabaleiro Domínguez, David López Vilariño, Tomás Fernández Pena

Subjects: “…airborne LiDAR point clouds…”
Get full text

Mask-SL RCNN: Feature-Enhanced 3D Object Detection Network for Point Clouds by Yuanhong Zhong, Guangxia Yang, Dihang Deng, Panliang Tang, Fan Ren

Subjects: Get full text

A Ridgeline-Based Terrain Co-registration for Satellite LiDAR Point Clouds in Rough Areas by Ruqin Zhou, Wanshou Jiang

Subjects: “…satellite LiDAR point clouds…”
Get full text

Safety-Critical Oracles for Metamorphic Testing of Deep Learning LiDAR Point Cloud Object Detectors by Simon Speth, Maximilian Trien, Dominik Kufer, Alexander Pretschner

Subjects: Get full text

Monocular Pedestrian 3D Localization for Social Distance Monitoring by Yiru Niu, Zhihua Xu, Ershuai Xu, Gongwei Li, Yuan Huo, Wenbin Sun

Subjects: Get full text

Semantic Segmentation of Large-Scale Outdoor Point Clouds by Encoder–Decoder Shared MLPs with Multiple Losses by Beanbonyka Rim, Ahyoung Lee, Min Hong

Subjects: Get full text

A Developer-Friendly “Open Lidar Visualizer and Analyser” for Point Clouds With 3D Stereoscopic View by Jorge Martinez, Oscar G. Lorenzo, David L. Vilarino, Tomas F. Pena, Jose C. Cabaleiro, Francisco F. Rivera

Subjects: Get full text

A Workflow to Extract the Geometry and Type of Vegetated Landscape Elements from Airborne LiDAR Point Clouds by Ine Rosier, Jan Diels, Ben Somers, Jos Van Orshoven

Subjects: Get full text

Powerline Detection and Characterization in General-Purpose Airborne LiDAR Surveys by Miguel Yermo, Ruben Laso, Oscar G. Lorenzo, Tomas F. Pena, Jose C. Cabaleiro, Francisco F. Rivera, David L. Vilarino

Subjects: “…light detection and ranging (LiDAR) point clouds…”
Get full text

Introducing Improved Transformer to Land Cover Classification Using Multispectral LiDAR Point Clouds by Zhiwen Zhang, Teng Li, Xuebin Tang, Xiangda Lei, Yuanxi Peng

Subjects: Get full text

Hierarchical Optimization Segmentation and Parameter Extraction of Street Trees Based on Topology Checking and Boundary Analysis from LiDAR Point Clouds by Yuan Kou, Xianjun Gao, Yue Zhang, Tianqing Liu, Guanxing An, Fen Ye, Yongyu Tian, Yuhan Chen

Subjects: “…LiDAR point clouds…”
Get full text

Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images by Hua Liu, Xiaoming Zhang, Yuancheng Xu, Xiaoyong Chen

Subjects: Get full text

LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise by Xiangfei Lu, Zongyu Ye, Liyong Fu, Huaiyi Wang, Kaiyu Wang, Yaquan Dou, Dongbo Xie, Xiaodi Zhao

Subjects: Get full text

A Hybrid Parallel Spatial Interpolation Algorithm for Massive LiDAR Point Clouds on Heterogeneous CPU-GPU Systems by Hongyan Wang, Xuefeng Guan, Huayi Wu

Subjects: Get full text

Unsupervised Building Extraction from Multimodal Aerial Data Based on Accurate Vegetation Removal and Image Feature Consistency Constraint by Yan Meng, Shanxiong Chen, Yuxuan Liu, Li Li, Zemin Zhang, Tao Ke, Xiangyun Hu

Subjects: Get full text