Issues and challenges for pedestrian active safety systems based on real world accidents.
Identifieur interne : 002C08 ( Main/Exploration ); précédent : 002C07; suivant : 002C09Issues and challenges for pedestrian active safety systems based on real world accidents.
Auteurs : Hédi Hamdane [Australie] ; Thierry Serre [France] ; Catherine Masson [France] ; Robert Anderson [Australie]Source :
- Accident; analysis and prevention [ 1879-2057 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- organisation et administration : Gestion de la sécurité.
- Accidents de la circulation, Automobiles, Dispositifs de protection, Décélération, Gestion de la sécurité, Modèles théoriques, Phénomènes biomécaniques, Piétons, Reconnaissance automatique des formes, Urgences.
English descriptors
- KwdEn :
- MESH :
- methods : Safety Management.
- organization & administration : Safety Management.
- prevention & control : Accidents, Traffic.
- Automobiles, Biomechanical Phenomena, Deceleration, Emergencies, Models, Theoretical, Pattern Recognition, Automated, Pedestrians, Protective Devices.
Abstract
The purpose of this study was to analyze real crashes involving pedestrians in order to evaluate the potential effectiveness of autonomous emergency braking systems (AEB) in pedestrian protection. A sample of 100 real accident cases were reconstructed providing a comprehensive set of data describing the interaction between the vehicle, the environment and the pedestrian all along the scenario of the accident. A generic AEB system based on a camera sensor for pedestrian detection was modeled in order to identify the functionality of its different attributes in the timeline of each crash scenario. These attributes were assessed to determine their impact on pedestrian safety. The influence of the detection and the activation of the AEB system were explored by varying the field of view (FOV) of the sensor and the level of deceleration. A FOV of 35° was estimated to be required to detect and react to the majority of crash scenarios. For the reaction of a system (from hazard detection to triggering the brakes), between 0.5 and 1s appears necessary.
DOI: 10.1016/j.aap.2015.05.014
PubMed: 26047007
Affiliations:
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Le document en format XML
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Electronic address: catherine.masson@ifsttar.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Aix-Marseille Univ, IFSTTAR, LBA UMR_T24, F-13016 Marseille</wicri:regionArea><wicri:noRegion>13016 Marseille</wicri:noRegion><wicri:noRegion>13016 Marseille</wicri:noRegion></affiliation></author><author><name sortKey="Anderson, Robert" sort="Anderson, Robert" uniqKey="Anderson R" first="Robert" last="Anderson">Robert Anderson</name><affiliation wicri:level="1"><nlm:affiliation>Centre for Automotive Safety Research-CASR, The University of Adelaide, SA 5005, Australia. 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A sample of 100 real accident cases were reconstructed providing a comprehensive set of data describing the interaction between the vehicle, the environment and the pedestrian all along the scenario of the accident. A generic AEB system based on a camera sensor for pedestrian detection was modeled in order to identify the functionality of its different attributes in the timeline of each crash scenario. These attributes were assessed to determine their impact on pedestrian safety. The influence of the detection and the activation of the AEB system were explored by varying the field of view (FOV) of the sensor and the level of deceleration. A FOV of 35° was estimated to be required to detect and react to the majority of crash scenarios. For the reaction of a system (from hazard detection to triggering the brakes), between 0.5 and 1s appears necessary.</div></front></TEI><affiliations><list><country><li>Australie</li><li>France</li></country></list><tree><country name="Australie"><noRegion><name sortKey="Hamdane, Hedi" sort="Hamdane, Hedi" uniqKey="Hamdane H" first="Hédi" last="Hamdane">Hédi Hamdane</name></noRegion><name sortKey="Anderson, Robert" sort="Anderson, Robert" uniqKey="Anderson R" first="Robert" last="Anderson">Robert Anderson</name></country><country name="France"><noRegion><name sortKey="Serre, Thierry" sort="Serre, Thierry" uniqKey="Serre T" first="Thierry" last="Serre">Thierry Serre</name></noRegion><name sortKey="Masson, Catherine" sort="Masson, Catherine" uniqKey="Masson C" first="Catherine" last="Masson">Catherine Masson</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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