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Radar and video as the perfect match : a cooperative method for sensor fusion

Martin Dimitrievski (UGent) , David Van Hamme (UGent) , Lennert Jacobs (UGent) and Gianni Allebosch (UGent)
(2019) ITF Belgium 2019.
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Abstract
Accurate detection and tracking of road users is essential for driverless cars and many other smart mobility applications. As no single sensor can provide the required accuracy and robustness, the output from several sensors needs to be combined. Especially radar and video are a good match, because their weaknesses and strengths complement each other. Researchers from IPI – an imec research group at Ghent University – developed a new technique to optimize radar-video fusion by exchanging information at an earlier stage.

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Citation

Please use this url to cite or link to this publication:

MLA
Dimitrievski, Martin, et al. “Radar and Video as the Perfect Match : A Cooperative Method for Sensor Fusion.” ITF Belgium 2019, 2019.
APA
Dimitrievski, M., Van Hamme, D., Jacobs, L., & Allebosch, G. (2019). Radar and video as the perfect match : a cooperative method for sensor fusion. In ITF Belgium 2019. Antwerp.
Chicago author-date
Dimitrievski, Martin, David Van Hamme, Lennert Jacobs, and Gianni Allebosch. 2019. “Radar and Video as the Perfect Match : A Cooperative Method for Sensor Fusion.” In ITF Belgium 2019.
Chicago author-date (all authors)
Dimitrievski, Martin, David Van Hamme, Lennert Jacobs, and Gianni Allebosch. 2019. “Radar and Video as the Perfect Match : A Cooperative Method for Sensor Fusion.” In ITF Belgium 2019.
Vancouver
1.
Dimitrievski M, Van Hamme D, Jacobs L, Allebosch G. Radar and video as the perfect match : a cooperative method for sensor fusion. In: ITF Belgium 2019. 2019.
IEEE
[1]
M. Dimitrievski, D. Van Hamme, L. Jacobs, and G. Allebosch, “Radar and video as the perfect match : a cooperative method for sensor fusion,” in ITF Belgium 2019, Antwerp, 2019.
@inproceedings{8621243,
  abstract     = {{Accurate detection and tracking of road users is essential for driverless cars and many other smart
mobility applications. As no single sensor can provide the required accuracy and robustness, the output
from several sensors needs to be combined. Especially radar and video are a good match, because their
weaknesses and strengths complement each other. Researchers from IPI – an imec research group at
Ghent University – developed a new technique to optimize radar-video fusion by exchanging information
at an earlier stage.}},
  author       = {{Dimitrievski, Martin and Van Hamme, David and Jacobs, Lennert and Allebosch, Gianni}},
  booktitle    = {{ITF Belgium 2019}},
  language     = {{eng}},
  location     = {{Antwerp}},
  title        = {{Radar and video as the perfect match : a cooperative method for sensor fusion}},
  year         = {{2019}},
}