A multi-agent architecture for a driver model for autonomous road vehicles

Brunet, Charles-Antoine; Gonzalez-Rubio, R.; Tétreault, Mario

doi:10.1109/ccece.1995.526409

Cited by 11 publications

(2 citation statements)

References 6 publications

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“…Brunet et al used a Prolog based programming language for developing a multi-agent architecture for an autonomous vehicle driver model [12]. Piaggio et al used a Prolog based application to implement the symbolic component of their real time autonomous motion planning approach, which is responsible for high level planning [13].…”

Section: A Prolog Programming Languagementioning

confidence: 99%

Expert system design for an Autonomous Driver Evaluation System

Kaplan

Akın

2011

2011 IEEE Intelligent Vehicles Symposium (IV)

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In this paper, two expert system implementations for the Automatic Driver Evaluation System (ADES) Project are introduced. These expert systems are used for deciding whether a driver violates the traffic rules or not, according to the facts derived from the data acquired by the sensors. Sample scenarios are executed in a highly realistic simulation environment. The advantages and shortcomings of both approaches are discussed.

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Section: A Prolog Programming Languagementioning

confidence: 99%

Expert system design for an Autonomous Driver Evaluation System

Kaplan

Akın

2011

2011 IEEE Intelligent Vehicles Symposium (IV)

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“…Charles. Antoine Brunet [38] used MAS to design driver model of ARV. This hybrid structure was abstracted as three-layers including control, guidance and navigation which were consisted of different agents.…”

Section: B Agent-based Distributed Hybrid Architecturementioning

confidence: 99%

Research on Classification of Intelligent Robotic Architecture

Xie¹,

Ma²,

Yang³

et al. 2012

JCP

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It is a hot issue that how to determine the appropriate architecture for building an Intelligent Robot System (IRS). The architecture includes information processing and control system, which ensures reasonable coordination, openness, and scalability of robotic system. Unlike the architecture of computer, the design of a robotic system is so complex that it is difficult to seek systematic analysis methods due to its interdisciplinary nature despite it has built and experimented popularly. The typical reference architecture in the past 30 years are classified and summed up systematically in this paper from the AI robotics and systems analysis perspective. And then the new integrated approaches of conceptual and open physical design model for IRS are presented. In addition, six new common principles for designing architecture of IRS are proposed exploringly on the basis of previous classified research. These methodologies will provide some design guidelines for continuing to refine and improve the existing IRS. Finally, the rationality and feasibility of using these methods is concluded.

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