Model-Based Safety Analysis for Autonomous Driving
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© 2024 by IJCTT Journal
Volume-72 Issue-9
Year of Publication : 2024
Authors : Shobhit Kukreti, Nidhi Bhardwaj
DOI :  10.14445/22312803/IJCTT-V72I9P126

How to Cite?

Shobhit Kukreti, Nidhi Bhardwaj, "Model-Based Safety Analysis for Autonomous Driving," International Journal of Computer Trends and Technology, 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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