chen-journal-selected.bib

@phdthesis{chen2022phd,
  author = {Xieyuanli Chen},
  title = {{LiDAR-Based Semantic Perception for Autonomous Vehicles}},
  school = {University of Bonn},
  year = 2022,
  month = sep,
  url = {https://hdl.handle.net/20.500.11811/10228},
  urn = https://nbn-resolving.org/urn:nbn:de:hbz:5-67873
}
@article{chen2022ral,
  author = {\textbf{X. Chen} and B. Mersch and L. Nunes and R. Marcuzzi and I. Vizzo and J. Behley and C. Stachniss},
  title = {{Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = 2022,
  volume = 7,
  number = 3,
  pages = {6107-6114},
  url = {http://arxiv.org/pdf/2201.04501},
  issn = {2377-3766},
  doi = {10.1109/LRA.2022.3166544},
  codeurl = {https://github.com/PRBonn/auto-mos}
}
@article{chen2022auro,
  author = {\textbf{X. Chen} and T. L\"abe and A. Milioto and T. R\"ohling and J. Behley and C. Stachniss},
  title = {{OverlapNet: A Siamese Network for Computing LiDAR Scan Similarity with Applications to Loop Closing and Localization}},
  journal = {Autonomous Robots},
  year = {2022},
  doi = {10.1007/s10514-021-09999-0},
  issn = {1573-7527},
  volume = 46,
  pages = {61--81},
  codeurl = {https://github.com/PRBonn/OverlapNet},
  url = {http://www.ipb.uni-bonn.de/pdfs/chen2021auro.pdf}
}
@article{chen2021ral,
  title = {{Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data}},
  author = {\textbf{X. Chen} and S. Li and B. Mersch and L. Wiesmann and J. Gall and J. Behley and C. Stachniss},
  year = {2021},
  volume = 6,
  issue = 4,
  pages = {6529-6536},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  url = {http://www.ipb.uni-bonn.de/pdfs/chen2021ral-iros.pdf},
  codeurl = {https://github.com/PRBonn/LiDAR-MOS},
  videourl = {https://youtu.be/NHvsYhk4dhw},
  doi = {10.1109/LRA.2021.3093567},
  issn = {2377-3766}
}
@article{ma2022ral,
  author = {J. Ma and J. Zhang and J. Xu and R. Ai and W. Gu and C. Stachniss and \textbf{X. Chen*}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  title = {OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition},
  year = {2022},
  volume = {7},
  number = {3},
  pages = {6958-6965},
  doi = {10.1109/LRA.2022.3178797},
  url = {https://arxiv.org/pdf/2203.03397.pdf},
  codeurl = {https://github.com/haomo-ai/OverlapTransformer}
}
@article{ma2022tie,
  author = {J. Ma and \textbf{X. Chen} and J. Xu and G. Xiong},
  title = {{SeqOT: Spatial-Temporal Transformer Networks for Place Recognition Using Sequential LiDAR Data}},
  journal = {IEEE Trans.~on Industrial Electronics},
  year = {2022}
}
@article{nunes2022ral-3duis,
  author = {L. Nunes and \textbf{X. Chen*} and R. Marcuzzi and A. Osep and L. Leal-Taixé and C. Stachniss and Jens Behley},
  title = {{Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  url = {https://www.ipb.uni-bonn.de/pdfs/nunes2022ral-iros.pdf},
  codeurl = {https://github.com/PRBonn/3DUIS},
  doi = {10.1109/LRA.2022.3187872},
  year = 2022
}
@article{guadagnino2022ral,
  author = {T. Guadagnino and \textbf{X. Chen} and M. Sodano and J. Behley and G. Grisetti and C. Stachniss},
  title = {{Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2022},
  url = {https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/guadagnino2022ral-iros.pdf}
}
@article{mersch2022ral,
  author = {B. Mersch and \textbf{X. Chen} and I. Vizzo and L. Nunes and J. Behley and C. Stachniss},
  title = {{Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = 2022,
  url = {https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2022ral.pdf},
  volume = {7},
  number = {3},
  pages = {7503--7510},
  doi = {10.1109/LRA.2022.3183245},
  codeurl = {https://github.com/PRBonn/4DMOS},
  videourl = {https://youtu.be/5aWew6caPNQ}
}
@article{dong2022jras,
  title = {Online pole segmentation on range images for long-term LiDAR localization in urban environments},
  journal = {Robotics and Autonomous Systems},
  pages = {104283},
  year = {2022},
  issn = {0921-8890},
  doi = {https://doi.org/10.1016/j.robot.2022.104283},
  author = {H. Dong and \textbf{X. Chen*} and S. S{\"a}rkk{\"a} and C. Stachniss},
  codeurl = {https://github.com/PRBonn/pole-localization},
  url = {https://arxiv.org/pdf/2208.07364.pdf}
}
@article{arora2022jras,
  author = {M. Arora and L. Wiesmann and \textbf{X. Chen*} and C. Stachniss},
  title = {{Static Map Generation from 3D LiDAR Point Clouds Exploiting Ground Segmentation}},
  journal = {Robotics and Autonomous Systems (RAS)},
  year = {2022}
}
@article{nunes2022ral,
  author = {L. Nunes and R. Marcuzzi and \textbf{X. Chen} and J. Behley and C. Stachniss},
  title = {{SegContrast: 3D Point Cloud Feature Representation Learning through Self-supervised Segment Discrimination}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = 2022,
  doi = {10.1109/LRA.2022.3142440},
  issn = {2377-3766},
  volume = {7},
  number = {2},
  pages = {2116-2123},
  url = {http://www.ipb.uni-bonn.de/pdfs/nunes2022ral-icra.pdf},
  codeurl = {https://github.com/PRBonn/segcontrast}
}
@article{shi2021ral,
  title = {{Keypoint Matching for Point Cloud Registration using Multiplex Dynamic Graph Attention Networks}},
  author = {C. Shi and \textbf{X. Chen} and K. Huang and J. Xiao and H. Lu and C. Stachniss},
  year = {2021},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  volume = 6,
  issue = 4,
  pages = {8221-8228},
  url = {http://www.ipb.uni-bonn.de/pdfs/shi2021ral-iros.pdf},
  codeurl = {https://github.com/chenghao-shi/MDGAT-matcher},
  doi = {10.1109/LRA.2021.3097275},
  issn = {2377-3766}
}
@article{li2022ral,
  author = {S. Li and \textbf{X. Chen} and Y. Liu and D. Dai and C. Stachniss and J. Gall},
  title = {{Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = 2022,
  doi = {10.1109/LRA.2021.3132059},
  issn = {2377-3766},
  volume = 7,
  number = 2,
  pages = {738-745},
  url = {https://www.ipb.uni-bonn.de/pdfs/li2022ral.pdf},
  codeurl = {https://github.com/sj-li/MINet}
}
@article{wiesmann2021ral,
  author = {L. Wiesmann and A. Milioto and \textbf{X. Chen} and C. Stachniss and J. Behley},
  title = {{Deep Compression for Dense Point Cloud Maps}},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  volume = 6,
  issue = 2,
  pages = {2060-2067},
  doi = {10.1109/LRA.2021.3059633},
  year = 2021,
  url = {http://www.ipb.uni-bonn.de/pdfs/wiesmann2021ral.pdf},
  codeurl = {https://github.com/PRBonn/deep-point-map-compression},
  videourl = {https://youtu.be/fLl9lTlZrI0}
}

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