
Radar and video as the perfect match : a cooperative method for sensor fusion
- Author
- Martin Dimitrievski (UGent) , David Van Hamme (UGent) , Lennert Jacobs (UGent) and Gianni Allebosch (UGent)
- Organization
- 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: http://hdl.handle.net/1854/LU-8621243
- 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}}, }