Rui Ye, Kaifeng Deng, Lei Yu, Peiyuan Gao, Lei Chen, Jinxin Yang, and Yaping Zhang
[1] S. Wang, Z. Zhao, and H. Liu, Power corridor safety hazarddetection based on airborne 3D laser scanning technology,ISPRS International Journal of Geo-Information, 13(11), 2024,392. [2] R. Bi, S. Gan, X. Yuan, R. Li, S. Gao, M. Yang, W. Luo,and L. Hu, Multi-view analysis of high-resolution geomorphicfeatures in complex mountains based on UAV–LiDAR andSfM–MVS: A case study of the Northern Pit rim structureof the mountains of Lufeng, China, Applied Sciences, 13(2),2023, 738. [3] T. Zhang and L. Shi, Fault analysis of transmission line basedon big data algorithm, Mechatronic Systems and Control,50(4), 2022, 216–223. [4] S. Sarker, P. Sarker, G. Stone, R. Gorman, A. Tavakkoli,G. Bebis, and J. Sattarvand, A comprehensive overview ofdeep learning techniques for 3D point cloud classificationand semantic segmentation, Machine Vision and Applications,35(4), 2024, 67. [5] R. Abbasi, A. K. Bashir, A. Rehman, and Y. Ge, 3Dlidar point cloud segmentation for automated driving, IEEEIntelligent Transportation Systems Magazine, 17(1), 2025,8–29. [6] J. Hao, Intelligent vehicle driving decision based on deeplearning algorithm under structured road environment,Mechatronic Systems and Control, 53(2), 2025, 71–83. [7] Z. Wang, Z. Liao, B. Zhou, G. Yu, and W. Luo,SwinURNet: Hybrid transformer-CNN architecture for real-time unstructured road segmentation, IEEE Transactions onInstrumentation and Measurement, 73, 2024, 1–16. [8] J. Zhang, H. Chen, B. Wang, G. Fang, and Y. Zhou, FAR-Net:Semantic segmentation of large-scale point clouds based onfeature aggregation and recoding for aerial computing, IEEETransactions on Network Science and Engineering, 11(4),2024, 5217–5227. [9] H. Lu, B. Li, G. Yang, G. Fan, H. Wang, Y. Pang, Z.Wang, Y. Lian, H. Xu, and H. Huang, Towards a pointcloud understanding framework for forest scene semanticsegmentation across forest types and sensor platforms, RemoteSensing of Environment, 318, 2025, 114591. [10] B. Qiu, Y. Zhou, L. Dai, B. Wang, J. Li, Z. Dong, C. Wen,Z. Ma, and B. Yang, WHU-Railway3D: A diverse datasetand benchmark for railway point cloud semantic segmentation,IEEE Transactions on Intelligent Transportation Systems,25(12), 2024, 20900–20916. [11] B. Xie, The application of digital twin model in fault predictionof traction motor of multiple unit, Mechatronic Systems andControl, 53(1), 2025, 62–70. [12] H. Wang and Y. Tian, Sequential point clouds: A survey, IEEETransactions on Pattern Analysis and Machine Intelligence,46(8), 2024, 5504–5523. [13] X. Liu, F. Shuang, Y. Li, L. Zhang, X. Huang, and J. Qin,SS-IPLE: Semantic segmentation of electric power corridorscene and individual power line extraction from UAV-basedlidar point cloud, IEEE Journal of Selected Topics inApplied Earth Observations and Remote Sensing, 16, 2023,38–50. [14] S. Pei, H. Sun, C. Hu, W. Wang, M. Wu, and B. Lan, TLSNet:A semantic segmentation method for key point cloud regionsof transmission lines, Iscience, 28(6), 2025, 112334. [15] W. Ma, J. Xiao, G. Zhu, J. Wang, D. Zhang, X. Fang, and Q.Miao, Transmission tower and power line detection based onimproved Solov2, IEEE Transactions on Instrumentation andMeasurement, 73, 2024, 1–11. [16] G. Zhu, W. Zhang, M. Wang, J. Wang, and X. Fang,Corner guided instance segmentation network for powerlines and transmission towers detection, Expert Systems withApplications, 234, 2023, 121087. [17] L. Bie, G. Xiao, Y. Li, and Y. Gao, HyperG-PS: Voxelcorrelation modeling via hypergraph for LiDAR panopticsegmentation, Fundamental Research, 2025 (in press). [18] S. Ji, X. Yuan, J. Bao, T. Liu, Y. Lian, G. Huang, and G. Zhong,PFPS: Polymerized feature panoptic segmentation based onfully convolutional networks, IEEE Transactions on EmergingTopics in Computational Intelligence, 9(3), 2025, 2584–2596. [19] P.H. Wang, X.H. Xi, C. Wang, and S.B. Xia, Fast extraction ofpower lines from airborne LiDAR data, Science of Surveyingand Mapping, 42(2), 2017, 154–158. [20] X. Li, S. Ji, and J. Zhao, A novel weighted distance and localdensity double histogram used in 3D local feature description,Multimedia Tools and Applications, 84(4), 2024, 1927–1944. [21] X. Wang and Y. Miao, Application of PSO-ACO algorithm inpath planning of intelligent robots, Mechatronic Systems andControl, 53(1), 2025, 42–53. [22] K. Zhang, D. Gann, and M. Ross, Detection of low elevationoutliers in TanDEM-X DEMs with histogram and adaptiveTIN, IEEE Transactions on Geoscience and Remote Sensing,60, 2022, 1–13. [23] C. Zhang and W. Tao, Learning meshing from Delaunaytriangulation for 3D shape representation, InternationalJournal of Computer Vision, 133(6), 2025, 3413–3436. [24] S. Dias, P. J. S. C. P. Sousa, J. Nunes, F. Afonso, N. Viriato,P. J. Tavares, and P. M. G. P. Moreira, Deterministic lightdetection and ranging (LiDAR)-based obstacle detection inrailways using data fusion, Applied Sciences, 15(6), 2025, 3118. [25] M. Hajihosseinlou, A. Maghsoudi, and R. Ghezelbash,Intelligent mapping of geochemical anomalies: Adaptation ofDBSCAN and mean-shift clustering approaches, Journal ofGeochemical Exploration, 258, 2024, 107393. [26] L. Li, X. Mu, F. Chianucci, J. Qi, J. Jiang, J. Zhou, L.Chen, H. Huang, G. Yan, and S. Liu, Ultrahigh-resolutionboreal forest canopy mapping: Combining UAV imageryand photogrammetric point clouds in a deep-learning-basedapproach, International Journal of Applied Earth Observationand Geoinformation, 107, 2022, 102686. [27] Q. Liang, L. Yang, Z. Luo, W. Jiang, and C. Hong, Asiamese network-based method for automatic stitching ofartifact fragments, IEEE Transactions on Instrumentation andMeasurement, 72, 2023, 1–13. [28] L. Luchowski and D. Pojda, Visualization of a multidimensionalpoint cloud as a 3D swarm of avatars, Applied Sciences, 15(13),2025, 7209. [29] W. Sun, A. Tagliasacchi, B. Deng, S. Sabour, S. Yazdani,G. Hinton, and K. M. Yi, Canonical capsules: Self-supervisedcapsules in canonical pose, 2021, arXiv:2012.04718.
Important Links:
Go Back
