Rapport SEME - Génération de scénarios ...
Document type :
Rapport de recherche
Title :
Rapport SEME - Génération de scénarios pour les véhicules autonomes
Author(s) :
Garcin, Valérie [Auteur]
Institut de Mathématiques de Bordeaux [IMB]
Prencipe, Nicoletta [Auteur]
Institut de Mathématiques de Bordeaux [IMB]
Schlich, Suzanne [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Tabary, Dorine [Auteur]
Institut de Recherche en Informatique Mathématiques Automatique Signal [IRIMAS]
Institut de Mathématiques de Bordeaux [IMB]
Prencipe, Nicoletta [Auteur]
Institut de Mathématiques de Bordeaux [IMB]
Schlich, Suzanne [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Tabary, Dorine [Auteur]
Institut de Recherche en Informatique Mathématiques Automatique Signal [IRIMAS]
Institution :
IMB - Institut de Mathématiques de Bordeaux
Publication date :
2021-01-21
HAL domain(s) :
Mathématiques [math]/Combinatoire [math.CO]
English abstract : [en]
In the context of autonomous driving, a scenario is described by a set of parameters of the autonomous vehicle and its environment, for example: fast lane, high speed, right turn, sun etc.. The work of the experts allowed ...
Show more >In the context of autonomous driving, a scenario is described by a set of parameters of the autonomous vehicle and its environment, for example: fast lane, high speed, right turn, sun etc.. The work of the experts allowed to identify parameters that can constitute scenarios. The objective of the proposed topic is to develop a mathematical method to generate the most relevant 1000 scenarios obeying multiple necessities. A scenario is a set of parameters obeying to certain needs. These necessities have been defined, including logical rules between parameters (e.g. a sunny day and a cloudy weather cannot coexist in the same scenario), or even the elaboration of weightings from two parameters (criticality and probability). Generating scenarios without prior work leads to a combinatorial explosion of solutions. The objective of our research work is to use mathematical tools to provide a set of relevant solutions.Show less >
Show more >In the context of autonomous driving, a scenario is described by a set of parameters of the autonomous vehicle and its environment, for example: fast lane, high speed, right turn, sun etc.. The work of the experts allowed to identify parameters that can constitute scenarios. The objective of the proposed topic is to develop a mathematical method to generate the most relevant 1000 scenarios obeying multiple necessities. A scenario is a set of parameters obeying to certain needs. These necessities have been defined, including logical rules between parameters (e.g. a sunny day and a cloudy weather cannot coexist in the same scenario), or even the elaboration of weightings from two parameters (criticality and probability). Generating scenarios without prior work leads to a combinatorial explosion of solutions. The objective of our research work is to use mathematical tools to provide a set of relevant solutions.Show less >
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Français
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