MSCNet: Efficient and accurate semantic segmentation of LiDAR data using Multi-scale Convolution

• Xuewen Feng,

  Roles Conceptualization, Methodology, Resources

  Affiliation School of Mechanical and Electrical Engineering, China University of Mining and Technology -Beijing, Beijing, China

  https://orcid.org/0000-0002-3903-0181

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• Aiming Wang,

  Roles Conceptualization, Funding acquisition, Investigation, Visualization

  Affiliation School of Mechanical and Electrical Engineering, China University of Mining and Technology -Beijing, Beijing, China

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• Guoying Meng ,

  Roles Writing – original draft

  * E-mail: mgy@cumtb.edu.cn

  Affiliation School of Mechanical and Electrical Engineering, China University of Mining and Technology -Beijing, Beijing, China

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• Yiyang Xu,

  Roles Formal analysis

  Affiliation Beijing China Coal Mine Engineering Co., Ltd, Beijing, China

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• Jie Yang,

  Roles Data curation, Software

  Affiliation School of Mechanical and Electrical Engineering, China University of Mining and Technology -Beijing, Beijing, China

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• Xiaohan Cheng,

  Roles Validation

  Affiliation School of Mechanical and Electrical Engineering, China University of Mining and Technology -Beijing, Beijing, China

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• Yu Feng

  Roles Validation, Writing – review & editing

  Affiliation Chinese Institute of Coal Science, Beijing, China

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