Niclas Vödisch

Preprints

• N. Vödisch*, K. Petek*, W. Burgard, and A. Valada
  CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
  ArXiv preprint arXiv:2303.10147, 2023
  arXiv Video Website BibTeX

  @article{voedisch2023codeps,
          title="CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation",
          author="V{\"o}disch, Niclas and Petek, K{\"u}rsat and Burgard, Wolfram and Valada, Abhinav",
          journal="arXiv preprint arXiv:2303.10147",
          year="2023"
  }

Workshop Papers

• N. Vödisch, D. Cattaneo, W. Burgard, and A. Valada
  CoVIO: Online Continual Learning for Visual-Inertial Odometry
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023
  arXiv Website BibTeX

  @article{voedisch2023covio,
  	title="CoVIO: Online Continual Learning for Visual-Inertial Odometry",
  	author="V{\"o}disch, Niclas and Cattaneo, Daniele and Burgard, Wolfram and Valada, Abhinav",
    	journal="arXiv preprint arXiv:2303.10149",
    	year="2023"
  }

Conference Papers

• N. Vödisch, D. Cattaneo, W. Burgard, and A. Valada
  Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning
  International Symposium on Robotics Research (ISRR), 2022
  arXiv Video Website BibTeX

  @InProceedings{voedisch2023clslam,
  author="V{\"o}disch, Niclas and Cattaneo, Daniele and Burgard, Wolfram and Valada, Abhinav",
  editor="Billard, Aude and Asfour, Tamim and Khatib, Oussama",
  title="Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning",
  booktitle="Robotics Research",
  year="2023",
  publisher="Springer Nature Switzerland",
  address="Cham",
  pages="19--35",
  }

• L. Andresen*, A. Brandemuehl*, A. Hönger*, B. Kuan*, N. Vödisch*, H. Blum, V. Reijgwart, L. Bernreiter, L. Schaupp, J. J. Chung, M. Bürki, M. R. Oswald, R. Siegwart, and A. Gawel
  Accurate Mapping and Planning for Autonomous Racing
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2021
  arXiv IEEE Xplore Video BibTeX

  @INPROCEEDINGS{andresen2020accurate,
    author={Andresen, Leiv and Brandemuehl, Adrian and H{\"o}nger, Alex and Kuan, Benson and V{\"o}disch, Niclas and Blum, Hermann and Reijgwart, Victor and Bernreiter, Lukas and Schaupp, Lukas and Chung, Jen Jen and B{\"u}rki, Mathias and Oswald, Martin R. and Siegwart, Roland and Gawel, Abel},
    booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, 
    title={Accurate Mapping and Planning for Autonomous Racing}, 
    year={2020},
    pages={4743-4749},
    doi={10.1109/IROS45743.2020.9341702}
  }

Journal Papers

• J. Arce, N. Vödisch, D. Cattaneo, W. Burgard, and A. Valada
  PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention
  IEEE Robotics and Automation Letters (RA-L), vol. 8, issue 3, pp. 1319-1326, March 2023
  arXiv IEEE Xplore Video Website BibTex

  @article{arce2022padloc,
    author={Arce, Jos{\'e}, and V{\"o}disch, Niclas and Cattaneo, Daniele and Burgard, Wolfram and Valada, Abhinav},
    journal={IEEE Robotics and Automation Letters},
    title={PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention},
    year={2023},
    volume={8},
    number={3},
    pages={1319-1326},
    doi={10.1109/LRA.2023.3239312}
  }

• N. Vödisch, O. Unal, K. Li, L. Van Gool, and D. Dai
  End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization
  IEEE Robotics and Automation Letters (RA-L), vol. 7, issue 2, pp. 2242-2249, April 2022
  arXiv IEEE Xplore Video Code BibTeX

  @ARTICLE{voedisch2022end,
    author={V{\"o}disch, Niclas and Unal, Ozan and Li, Ke and Van Gool, Luc and Dai, Dengxin},
    journal={IEEE Robotics and Automation Letters}, 
    title={End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization}, 
    year={2022},
    volume={7},
    number={2},
    pages={2242-2249},
    doi={10.1109/LRA.2022.3142738}
  }

• N. Vödisch*, D. Dodel*, and M. Schötz*
  FSOCO: The Formula Student Objects in Context Dataset
  SAE International Journal of Connected and Automated Vehicles, vol. 5, 2022
  arXiv SAE Website BibTeX

  @misc{voedisch2022fsoco,
        title={{FSOCO}: The Formula Student Objects in Context Dataset},
        author={Niclas V{\"o}disch and David Dodel and Michael Sch{\"o}tz},
        journal={SAE International Journal of Connected and Automated Vehicles},
        volume={5},
        number={12-05-01-0003},
        year={2022},
        doi={10.4271/12-05-01-0003}}
  }