International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 72 | Issue 9 | Year 2024 | Article Id. IJCTT-V72I9P126 | DOI : https://doi.org/10.14445/22312803/IJCTT-V72I9P126

Model-Based Safety Analysis for Autonomous Driving

Shobhit Kukreti, Nidhi Bhardwaj

Received Revised Accepted Published
09 Aug 2024 07 Sep 2024 26 Sep 2024 30 Sep 2024

Citation :

Shobhit Kukreti, Nidhi Bhardwaj, "Model-Based Safety Analysis for Autonomous Driving," International Journal of Computer Trends and Technology (IJCTT), vol. 72, no. 9, pp. 165-169, 2024. Crossref, https://doi.org/10.14445/22312803/ IJCTT-V72I9P126

Abstract

Self-driving Cars or Autonomous Driving has been a formidable technological hurdle. While the hardware has evolved to produce high-fidelity sensors such as 4k GMSL cameras, LiDars and Radars, mimicking the correct human behavior has proven to be tougher than early expectations. It requires a departure from conventional design, security, and validation procedures to ensure the development of a reliable and secure system. This manuscript delineates the application of a ModelBased Safety Analysis methodology (MBSA) to an Advanced Driver-Assistance System (ADAS) employing a modular numerical simulation platform. We explain the various activities occurring at each stage and delineate the associated objectives. Furthermore, we present experimental simulation outcomes that underscore the advantages inherent in this approach.

Keywords

ADAS, Autonomous Driving, MBSA, Vehicle Safety, Simulation.

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