Heterogeneous Sensor Fusion via Confidence-Rich 3D Grid Mapping: Application to Physical Robots

Eric Heiden, Daniel Pastor, Pradyumna Vyshnav, Ali-akbar Agha-mohammadi. Heterogeneous Sensor Fusion via Confidence-Rich 3D Grid Mapping: Application to Physical Robots. In Jing Xiao 0001, Torsten Kröger, Oussama Khatib, editors, Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018. Volume 11 of Springer Proceedings in Advanced Robotics, pages 725-736, Springer, 2018. [doi]

@inproceedings{HeidenPVA18,
  title = {Heterogeneous Sensor Fusion via Confidence-Rich 3D Grid Mapping: Application to Physical Robots},
  author = {Eric Heiden and Daniel Pastor and Pradyumna Vyshnav and Ali-akbar Agha-mohammadi},
  year = {2018},
  doi = {10.1007/978-3-030-33950-0_62},
  url = {https://doi.org/10.1007/978-3-030-33950-0_62},
  researchr = {https://researchr.org/publication/HeidenPVA18},
  cites = {0},
  citedby = {0},
  pages = {725-736},
  booktitle = {Proceedings of the 2018 International Symposium on Experimental Robotics, ISER 2018, Buenos Aires, Argentina, November 5-8, 2018},
  editor = {Jing Xiao 0001 and Torsten Kröger and Oussama Khatib},
  volume = {11},
  series = {Springer Proceedings in Advanced Robotics},
  publisher = {Springer},
  isbn = {978-3-030-33950-0},
}