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Abstract
In this work robustness and calibration of modern pedestrian detectors are evaluated. Pedestrian detection is a crucial perception com- ponent in autonomous driving and here we study its performance under different image corruptions. Furthermore, we provide analysis of classifi- cation calibration of pedestrian detectors and we show a positive effect of using style-transfer augmentation technique. Our analysis is aimed as a step towards understanding and improving current safety-critical detection systems.
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- Category:
- Monographic publication
- Type:
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Cygert S., Czyżewski A.: Evaluating calibration and robustness of pedestrian detectors// Multimedia Communications, Services and Security/ : , 2020, s.98-111
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-59000-0
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
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