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Díaz de León Torres, Rocío, Molina González, Martín ORCID: https://orcid.org/0000-0001-7145-1974 and Campoy Cervera, Pascual ORCID: https://orcid.org/0000-0002-9894-2009 (2019). Survey of Bayesian Network applications to Intelligent Autonomous Vehicles (IAVs). "eprint arXiv:1901.05517" ; pp. 1-34. ISSN 2331-8422.
Título: | Survey of Bayesian Network applications to Intelligent Autonomous Vehicles (IAVs) |
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Autor/es: |
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Tipo de Documento: | Artículo |
Título de Revista/Publicación: | eprint arXiv:1901.05517 |
Fecha: | Enero 2019 |
ISSN: | 2331-8422 |
Materias: | |
Palabras Clave Informales: | Bayesian Networks; Intelligent Autonomous Vehicles; Decision making |
Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
Departamento: | Inteligencia Artificial |
Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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This article reviews the applications of Bayesian Networks to Intelligent Autonomous Vehicles (IAV) from the decision making point of view, which represents the final step for fully Autonomous Vehicles (currently under discussion). Until now, when it comes making high level decisions for Autonomous Vehicles (AVs), humans have the last word. Based on the works cited in this article and analysis done here, the modules of a general decision making framework and its variables are inferred. Many efforts have been made in the labs showing Bayesian Networks as a promising computer model for decision making. Further research should go into the direction of testing Bayesian Network models in real situations. In addition to the applications, Bayesian Network fundamentals are introduced as elements to consider when developing IAVs with the potential of making high level judgement calls.
ID de Registro: | 64120 |
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Identificador DC: | https://oa.upm.es/64120/ |
Identificador OAI: | oai:oa.upm.es:64120 |
URL Oficial: | https://arxiv.org/ftp/arxiv/papers/1901/1901.05517... |
Depositado por: | Memoria Investigacion |
Depositado el: | 10 Nov 2020 11:40 |
Ultima Modificación: | 10 Nov 2020 11:40 |