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Start Date:2/10/2021
Start Time:9:00 AM EST
Duration:60 minutes
Abstract:
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 cars ‘smarter’ while making it more challenging to ensure they are safe and secure. In particular, the global advanced driver assistance system (ADAS) market is expected to reach USD 67.43 billion by 2025, growing at a CAGR 19.0%, according to a new report by Grand View Research, Inc. Government requirements for safer vehicles combined with customer demands for increased autonomy are driving this growth. SAE J3016 defines 6 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 ADAS 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 ADAS systems tend to fall into the higher ISO26262 ASIL levels, 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
- Efficient and Predictable Tool Qualification
During this webinar, we will explore these areas of improvement, explain why they are important, and show how they can accelerate delivery and compliance of ADAS systems and software.
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Speakers
Stephen Di Camillo Technical Marketing Manager LDRA Technologies Steve Di Camillo has over 30 years’ experience in embedded systems and software development, focusing on model-based engineering and standards compliance. He has worked with many customers around the world in the automotive, aerospace, rail, medical, telecommunications, energy, and industrial equipment industries. Throughout his career, Steve has helped engineering organizations to adopt new processes, tools, and technologies to improve the efficiency and effectiveness of their systems and software development and testing efforts, while maintaining compliance with evolving and emerging technical standards.
Steve earned his Bachelor of Science degree at Cornell University. He now works as Technical Marketing and Business Development Manager with LDRA Software Technology.
Jaikumar Daniel Pre-Sales Consultant Intland Software Jaikumar Daniel is part of Intland Software's customer-facing Team. He helps customers to gain broad knowledge about the tool and to implement codeBeamer ALM software. Before joining Intland Software Daniel has worked in Siemens PLM Software and Cognizant Technology Solutions. Daniel holds a Masters degree in Software Engineering from Vellore Institute of Technology in Vellore, India, and also holds an MBA from HTW Berlin, Germany.
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Accelerating Delivery and Compliance of ADAS Systems and Software
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