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Track: Technology Track

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  • Wednesday
10:00 - 11:00
(Room: Foyer) Vehicle OS, APIs & Digital Twin: From open source to commercial platforms - the technical foundation for the SDV
(Room: Foyer) Vehicle OS, APIs & Digital Twin: From open source to commercial platforms - the technical foundation for the SDV

Driving the Future: Unifying Cloud-Native Architecture for SDV, C-V2X, and MEC Integration (Andrei Kholodnyi, Wind River Systems)
This talk offers a deep dive into the common cloud-native architecture designed to seamlessly integrate Software Defined Vehicles (SDV), Cellular Vehicle-to-Everything (C-V2X), and Multi-Access Edge Computing (MEC) technologies. As the automotive industry undergoes a transformative shift towards connected and autonomous vehicles, a unified cloud-native architecture is imperative to harness the full potential of these innovations. In this session, we'll explore how Cloud-Native Vehicle (CNV) architecture fosters a thriving ecosystem, simplifies the creation, deployment, and maintenance of automotive applications, and ultimately drives innovation and efficiency in the industry.
This cloud-native architecture leverages the principles of containerization, microservices, and orchestration to facilitate efficient and scalable deployment across a distributed network. The integration of SDV, C-V2X, and MEC within cloud-native framework offers several key benefits, such as Dynamic Scalability, Real-time Data Processing, Flexibility and Agility, Security and Privacy, Interoperability, Resource Efficiency, Scalable Data Storage, and others.
The adoption of a common cloud-native architecture for SDV, C-V2X, and MEC integration represents a critical step in realizing the full potential of connected and autonomous vehicles. This architecture empowers vehicle manufacturers, network providers, and application developers to collaborate effectively in creating safer, more efficient, and innovative transportation systems for the future.
Does the Automotive Market need a translator? Securing in- and off-Vehicle Communication with Standard Data Models (Tobias Fieger, RTI)
As the automotive industry transitions into the age of the software-defined vehicle, it is essential that the whole ecosystem should be in perfect alignment about the direction these new architectures will follow.
The impact of this transition is not limited to the design and engineering of software-defined vehicles alone. The automotive industry is already adapting to fundamental changes in business models and go-to-market plans that are needed to put tomorrow’s vehicles on the road. One of the biggest challenges that the industry is facing is defining an optimal architectural data model can enable OEMs and their supply chain to reduce overall system complexity and reduce cost, while enabling system evolution that doesn’t compromise performance, or any other critical capabilities.
At this session, RTI will present how the industry should aim for a standardization of an optimal vehicle data model, for both in- and off-vehicle communication, which impact will go beyond development. This will bring the focus on enhancing functionalities, rather than contextualizing on custom vehicle signal specifications. At RTI, we believe in working to advance and standardize the core technologies and architectures, such as Data Distribution Service (DDS), in order to help accelerate the future of connected vehicles, while keeping safety and cybersecurity as the top priority. The presentation will cover the impact of such standardised communication in initiative such as COVESA VSS, AUTOSAR or SOAFEE, all of which can be leverage from DDS unique data-centric capabilities.
Eclipse Software Defined Vehicle: a successful “code first” approach (Sara Gallian, Eclipse Foundation)
The Eclipse Software Defined Vehicle (SDV) Working Group’s mission is to foster collaboration across industries to create an open technology platform for the software defined vehicles of the future. One year and a half after its formation, the WG counts 41 members and 22 projects, and it is working on the integration of its most mature projects to address the solution of real life use cases. In addition, the SDV WG is moving its first steps in setting up a comprehensive, automotive-grade DevOps toolchain, with the aim of reaching out to the broader Eclipse Community. 

Andrei Kholodnyi is a Principal Technologist in the office of the CTO where he is responsible for leading technology strategy for next-generation software-defined vehicles, V2X, cloud robotics, edge embedded systems, and AI/ML applications. He creates proof-of-concept and prototypes, validating innovative technology approaches, and plays a pivotal role in external-facing Chief Technology Officer (CTO) activities, supporting marketing initiatives through analyst interviews, speaking engagements, white papers, and more to establish Thought Leadership and provides crucial customer sales support for the CTO office.
He has more than 20+ years’ experience in embedded software development and served as a Wind River representative in various alliances and standardization bodies – AUTOSAR, ROS2, GENIVI, and PICMG. He is currently chair of the real-time ROS2 working group and a member of the ROS2 TSC.
Andrei joined the company in 2005 and has held roles in various areas, including engineering, services, automotive, and technology office. Prior to joining Wind River, he was a senior staff software engineer at Motorola Computer Group and Force Computers and a research scientist working at various European laboratories, where he developed expertise in complex embedded control and data acquisition systems.
He holds a master’s degree from Moscow Engineering Physics Institute.

Sara Gallian has a background in Aerospace and Electrical engineering, with a Ph.D. on numerical modeling of complex systems in the field of Electrical Engineering and Information Technology. Sara started her career in automotive as a developer for ADAS functions for a major Tier 1, and from there moved on to project and line management. Sara has extensive experience working for major Tier 1 automotive companies and has spent a significant amount of her career as a developer for ADAS functions before she moved to project and line management. Sara now leads the Software Defined Vehicle Working Group on behalf of the Eclipse Foundation. In her role, Sara is now leading the major automotive open source projects for the Software Defined Vehicle Working Group alongside members such as leading global OEMs, software companies, and other global Tier 1 suppliers.

Tobias Fieger is the Global Business Development Manager of Automotive at Real-Time Innovations (RTI), the largest software framework company for autonomous systems. In this position, he establishes relationships with customers and partners for RTI’s fast-growing global automotive business and for RTI Connext Drive, the first automotive-grade safety-certified data-centric communications framework for next-generation electric and autonomous vehicles. 

More than half of the top 10 funded vehicle newcomers are using RTI software to radically change the approach to car engineering, and vehicles running on RTI software are in production and on the road in North America, Europe and Asia.  

Tobias has more than 12 years of sales and business development experience, working extensively with global automotive and industrial industries. Tobias joined RTI from u-blox, the Swiss semiconductor leader, where he led automotive sales for a global Tier1. Tobias holds a MSc in Electrical Engineering and Information Technology from the Karlsruhe Institute of Technology KIT.

Andrei Kholodnyi (Wind River Systems), Sara Gallian (Eclipse Foundation), Tobias Fieger (COVESA (rti))
Andrei Kholodnyi (Wind River Systems), Sara Gallian (Eclipse Foundation), Tobias Fieger (COVESA (rti))
Talk: T1

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11:30 - 12:30
(Room: Foyer) Software defined Variant Management: Cutting the Gordian knot: Addressing the complexity of vehicle variants with SDV
(Room: Foyer) Software defined Variant Management: Cutting the Gordian knot: Addressing the complexity of vehicle variants with SDV

How to bring Variant Awareness in Rapid Prototyping Cases using TPLE and (Chris Seiler, Mercedes-Benz AG)
To enable rapid prototyping of new software-defined features within the vehicle is a perfect and easy to learn platform using the industry standard VSS(vehicle signal specification) to abstract the vehicle's hardware-defined capabilities. In this presentation we demonstrate a showcase in that is powered by a new solution called TPLE that enables variant management of software-defined vehicles end-to-end. 
How holistic PLE enables the Software-defined Vehicle (Robert Hellebrand, pure systems GmbH)
More information will follow soon.

Chris Seiler studied Information Technology at the University of Cooperative Education in Stuttgart and holds a Dipl.-Ing.(BA) and an MBA from the Open University.
He has held various roles in software projects in the telecommunications, airline and automotive industries. 
Since 2007 he has been involved with automotive diagnostics and software update issues. 
After joining in 2016, he developed the remote variant coding solution of Mercedes-Benz Passenger Cars. 
Within MB.OS Chris is responsible for the topic Configuration Management as Product Owner and is the Product Owner of the TPLE ecosystem. 
More information about the speaker:

Since 2014, Robert Hellebrand advocates feature-based Product Line Engineering as a company-wide approach to increase efficiency in system and software engineering. At pure-systems he has the role of Principal Field Application Engineer and is leading the Field Application Engineering Team that introduces customers and partners around the globe to Product Line Engineering with pure::variants and supports them with their methodological and tool-based experience.
He holds a Diploma in Industrial Engineering from the Technical University of Kaiserslautern (RPTU).

Chris Seiler (Mercedes-Benz AG), Robert Hellebrand (pure-systems GmbH)
Chris Seiler (Mercedes-Benz AG), Robert Hellebrand (pure-systems GmbH)
Talk: T2

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13:40 - 14:40
(Room: Foyer) SDV & Artificial Intelligence: Addressing the AI longtail for in-vehicle apps
(Room: Foyer) SDV & Artificial Intelligence: Addressing the AI longtail for in-vehicle apps

A Vision for the Future of Automotive Software Development – scaling and accelerating development (Andrea Ketzer, AWS)
The automotive industry is at a crossroads in vehicle software development. While it is difficult to steer away from the path well known, it is necessary to update development methodologies to successfully migrate to the new, software-defined era. AWS will present a vision for the future of automotive software development, introducing new innovations that will collectively enable a paradigm shift for the industry – which is only possible through strong, cloud-enabled collaboration.
The AI Longtail for Automated Driving (Lothar Baum, Bosch)
This presentation explores the pivotal role of Artificial Intelligence (AI) in automated driving. Considering the different levels of automated driving, from manual to fully autonomous vehicles, the talk highlights varied AI approaches to key tasks like environmental perception and real-time decision-making. The talk assesses the current progress in implementing fully automated driving into series products and discusses the technological needs for AI to effectively support advanced driver assistance systems and manage automated driving.

Andrea Ketzer leads Technology Strategy for the Automotive and Manufacturing Industries at Amazon Web Services.  Her mission at AWS is to help customers within automotive and manufacturing industries master the digital transformation via data driven development, powered by AWS infrastructure.  Andrea joined AWS in 2022 following nine years at Continental, where she led global R&D teams developing advanced driver assistance systems (ADAS) and centralized electronic controls.  Prior to Continental, Andrea spent thirteen years at Nokia where she was responsible for Java based games and business applications with partners globally.  Andrea holds a masters degree in control systems from Politechnica University of Timisoara.

Dr. Lothar Baum is Director of Engineering Artificial Intelligence and leads the AI developments in the product area „Driving“ of Advanced Driver Assistance Systems at Robert Bosch GmbH. Prior to this role, he was heading the development of cognitive systems in the Automated Driving division, worked as a project manager for big data and data mining, and was a pioneer of the Bosch Center for Artificial Intelligence. He’s a computer scientist by education, worked for Hewlett-Packard and Novadigm Inc., and co-founded ManageIQ Inc. (later acquired by RedHat) prior to joining Bosch in 2006.

Andrea Ketzer (AWS), Lothar Baum (Bosch)
Andrea Ketzer (AWS), Lothar Baum (Bosch)
Talk: T3

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