Developing Safe Software for Autonomous Systems LDRA Technologies, Incorporated

Format:

Book

Conference/Event

Author/Creator:

Di Camillo, Stephen, author.

Contributor:

Ghribi, Atef

Conference Name:

WCX SAE World Congress Experience (2022-04-05 : Detroit & Online, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2022

Summary:

In recent years, the amount of embedded software in automobiles has grown exponentially. At the same time, technologies such as artificial intelligence, machine learning, internet of things, and autonomous controls are being deployed to make vehicles smarter' while making it more challenging to ensure they are safe and secure. In particular, the global advanced driver assistance system (ADAS) market is growing rapidly. Government requirements for safer vehicles combined with customer demands for increased autonomy are driving this growth. SAE J3016 defines six levels of autonomy, ranging from Level 0 (no automation) to Level 5 (Full Automation). While no vehicle on the road today operates at Level 5, new technologies enable higher levels of autonomy, and established technologies are being quickly introduced across all makes and models of vehicles. It should come as no surprise that automated driving systems (ADSs) tend to fall into the higher ISO2626 automotive safety integrity levels (ASILs), requiring more rigorous development, testing, and safety and security assurance processes. The combination of the growth of embedded software and growth of safety and security requirements is putting a strain on traditional systems and software development processes and tools. Tools and processes need to be enhanced and improved to support: Cross Discipline Collaboration, Traceability and Transparency Throughout the Development Lifecycle, Rapid Iterative Development, Insightful Impact Analysis and Change Management, and Efficient and Predictable Tool Qualification. This paper will explore these areas of improvement, explain why they are important, and show how they can accelerate delivery and compliance of automated driving systems and software

Notes:

Vendor supplied data

Publisher Number:

2022-01-0108

Access Restriction:

Restricted for use by site license