(Created page with " == Abstract == This paper proposes an improvement of Advanced Driver Assistance System based on saliency estimation of road signs. After a road sign detection stage, its sal...") |
m (Scipediacontent moved page Draft Content 721891697 to Simon et al 2009a) |
(No difference)
| |
Latest revision as of 19:42, 3 February 2021
Abstract
This paper proposes an improvement of Advanced Driver Assistance System based on saliency estimation of road signs. After a road sign detection stage, its saliency is estimated using a SVM learning. A model of visual saliency linking the size of an object and a size-independent saliency is proposed. An eye tracking experiment in context close to driving proves that this computational evaluation of the saliency fits well with human perception, and demonstrates the applicability of the proposed estimator for improved ADAS.
Original document
The different versions of the original document can be found in:
- https://www.researchgate.net/profile/Jean-Philippe_Tarel/publication/224562407_Alerting_the_Drivers_about_Road_Signs_with_Poor_Visual_Saliency/links/0fcfd50ae3f2a28e78000000.pdf,
- http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005164251,
- https://ieeexplore.ieee.org/document/5164251,
- https://hal.archives-ouvertes.fr/hal-00435949,
- https://hal-univ-tlse3.archives-ouvertes.fr/IFSTTAR/hal-00435949,
- https://academic.microsoft.com/#/detail/2133194300
Document information
Published on 01/01/2009
Volume 2009, 2009
DOI: 10.1109/ivs.2009.5164251
Licence: CC BY-NC-SA license
Share this document
Keywords
claim authorship
Are you one of the authors of this document?