Survey of Bayesian Network applications to Intelligent Autonomous Vehicles (IAVs)

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.

Descripción

Título: Survey of Bayesian Network applications to Intelligent Autonomous Vehicles (IAVs)
Autor/es:
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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Resumen

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.

Más información

ID de Registro: 64120
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
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