Autonomous Driving System : Model Based Safety Analysis

The desire to introduce autonomous vehicles by 2020 on the roads represents a real technological challenge. It requires dismiss with traditional design, security and validation processes to achieve a safe system. As part of the SVA (Simulation of Autonomous Vehicle Safety) project, we present the process under development at the Institute for Technological Research SystemX, in order to optimally address the limitations of existing methods. The objective is to provide designers methods and tools to support safety considerations during the design and the validation phases of autonomous vehicles functions. In this paper, we apply a Model Based Safety Analysis methodology (MBSA) to an Advanced Driver-Assistance System (ADAS), using a modular numerical simulation platform. We describe the different activities carried out during each stage and define the associated objectives. Experimental simulation results are presented, showing the advantages of such approach.

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Autonomous Driving System : Model Based Safety Analysis

OpenAlex · Autonomous Vehicle Technology and Safety · 2018

Abstract

The desire to introduce autonomous vehicles by 2020 on the roads represents a real technological challenge. It requires dismiss with traditional design, security and validation processes to achieve a safe system. As part of the SVA (Simulation of Autonomous Vehicle Safety) project, we present the process under development at the Institute for Technological Research SystemX, in order to optimally address the limitations of existing methods. The objective is to provide designers methods and tools to support safety considerations during the design and the validation phases of autonomous vehicles functions. In this paper, we apply a Model Based Safety Analysis methodology (MBSA) to an Advanced Driver-Assistance System (ADAS), using a modular numerical simulation platform. We describe the different activities carried out during each stage and define the associated objectives. Experimental simulation results are presented, showing the advantages of such approach.

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