Heterogeneous Multi-Sensor Fusion for Extended Objects in Automotive Scenarios Using Gaussian Processes and a GMPHD-Filter (bibtex)

Copyright Notice: The papers listed below have been published and the copyrights have been transferred to the respective publishers. Therefore, these papers cannot be duplicated for commercial purposes. The following are IEEE's and SPIE's copyright notice; other publishers have similar ones.

by Martin Michaelis, Philipp Berthold, Daniel Meissner and Hans-Joachim Wuensche
Reference:
Heterogeneous Multi-Sensor Fusion for Extended Objects in Automotive Scenarios Using Gaussian Processes and a GMPHD-Filter (Martin Michaelis, Philipp Berthold, Daniel Meissner and Hans-Joachim Wuensche), In 11th Symposium Sensor Data Fusion: Trends, Solutions and Applications, 2017.
Bibtex Entry:
@InProceedings{bib:michaelis2017sdf,
  author    = {Martin Michaelis AND Philipp Berthold AND Daniel Meissner AND Hans-Joachim Wuensche},
  booktitle = {11th Symposium Sensor Data Fusion: Trends, Solutions and Applications},
  title     = {{Heterogeneous Multi-Sensor Fusion for Extended Objects in Automotive Scenarios Using Gaussian Processes and a GMPHD-Filter}},
  year      = {2017},
  address   = {Bonn, Germany},
  month     = oct,
  doi       = {10.1109/SDF.2017.8126351},
}
Powered by bibtexbrowser