From autonomous robotics toward autonomous cars

Autor: Jean-Marc Blosseville, Rémi Boutteau, Xavier Savatier, Pierre Merriaux, Assia Belbachir
Přispěvatelé: Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC), Pôle Instrumentation, Informatique et Systèmes, Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)-Université de Rouen Normandie (UNIROUEN), Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs (IFSTTAR/COSYS/LIVIC), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
Rok vydání: 2013
Předmět:
Zdroj: Intelligent Vehicles Symposium
2013 IEEE Intelligent Vehicles Symposium (IV)
2013 IEEE Intelligent Vehicles Symposium (IV), Jun 2013, Gold Coast City, Australia. ⟨10.1109/IVS.2013.6629656⟩
DOI: 10.1109/ivs.2013.6629656
Popis: For decades, scientists have dreamed of building autonomous cars that can drive without a human driver. Progress in this kind of research recently received an increasing attention in car industries. There are many autonomous car models recently developed. However, they are still infancy since they still lack efficiency and reliability. To obtain efficient and reliable systems, the validation process plays an important role. Nowadays, the validation is strongly related to the number of kilometers of drive. Thus, simulation techniques are used before going into real world driving. We focused our work on developing a methodology to smothly move from simulation into real world car driving. We defined a versatile architecture that simplifies the evaluation of different types of algorithms. Several evaluation systems are shown and discussed.
Databáze: OpenAIRE