TRIPLE-D Sessions - Live Webinar by b-plus

 

Join us on October 23 and 24 for our online event with focus on AD/ADAS validation for data-driven development.

During the two days, you will have the great chance to learn from experts in our industry and across the entire ecosystem, from data and measurement specialists, HiL and simulation experts, big data center & IT partners as well as AI specialists.

Take advantage of the free opportunity to gain valuable insights into solutions for data-driven development - This gives you ideas for your own perfect data set and insights into the optimization process of function developments.

Network with experts from around the world and join us for two days of insightful presentations, expert speakers and interactive Q&A sessions.

Secure your place at this event and learn more about the technological developments and solutions in the validation process of AD/ADAS functions.

Registration

 

Register now for free via the link below and be a part of the Live Webinar.


We look forward to your participation and to meet you in the live sessions! 

 

Event - Details


Date & Time:

October 23 - 1:00 PM to 4:40 PM CET

October 24 - 1:00 PM to 5:15 PM CET

Place: Online

Language: English

 

 

AGENDA - TRIPLE-D Sessions

 

Day 1 - October 23, 2024

 

1:00 PM to 4:40 PM CET

Live Webinar

The perfect Dataset for Data Driven Development & Validation

October 23

20-minute presentation followed by Q&A

 

In the development and validation process of new functions for AD/ADAS applications, OEMs and Tier1s are looking for complete solutions that can be integrated with each other. They are less interested in dealing with detailed questions, but instead want to get information from measurement technology experts on how the customer-optimized setup should be designed in its totality, which components should be chosen with which pros and cons. The goal is to be able to test functions live in the vehicle as well as to generate data sets that can be used for further tests in HiL methods or even for AI training.

From consulting, recording, management of the recorded data, live analyses through to data optimization and storage solutions in the data center - this is the complete system for ADAS/AD validation. Together with our partners, we now offer a wide range of services in the data-driven development environment.

 

3 Main Takeaways

  • Creating the right measurement technology setup for data and test drives
  • Target-optimized recording processes incl. data management and scenario detection
  • Data security and data integrity

Session 1 - Recording & Testfleet Management

The combination of hardware and software components & how they interact in the entire process of real test drives

October 23

20-minute presentation followed by Q&A

Johannes Zangerle
b-plus technologies GmbH

 

b-plus knows that the portfolio must be complemented as a package with software solutions, whether with our own components or those of our partners. Johannes' presentation covers the needs of the development department, the efficient use of existing data, defines the term "campaign" and explains which components can be used in Hardware and Software in and outside the vehicle. He also discusses how these large amount of data can be transferred to a cloud environment, for example, and how they can be made available to the test engineers there.

 

3 Main Takeaways

  • Campaign Definition and Execution for efficient Testfleet Management
  • Health Monitoring and Remote Management of Components
  • Modular Definition of Recorder and High Performance Computer

Efficient video capture and replay for ADAS/AD ECU validation with SX proFRAME by Solectrix

October 23

20-minute presentation followed by Q&A

Peter Kirsch
Solectrix GmbH

 

Powerful video grabber and playback systems are required for the validation of camera-based ADAS/AD systems. Modern vehicles with AD driving functions according to SAE Level 3 often have 12 or more high-resolution cameras installed, which transmit their raw data to the processing ADAS/AD ECU via protocols such as GMSL, FPD-Link, etc. Enormous video data streams of up to 6 Gbit/s per camera must be captured lossless and timestamped synchronously during test drives and fed to the data logging host system with lowest latency.

What is needed is a powerful, flexible and cost-effective video grabber and playback system that supports all common technologies in the automotive world and can be easily expanded to include future technologies. Uncomplicated system integration and setup as well as intuitive operation are further important requirements for such a system.

This presentation will illustrate how the video grabber and playback system SX proFRAME from Solectrix as part of the b-plus data logging platform DATAlynx, fulfills all these requirements.

 

3 Main Takeaways

  • Modular approach of proFRAME safes costs and time, changeable adapter modules support all important automotive protocols
  • proFRAME already pre-integrated in b-plus DATAlynx und Brick logger systems is close to ready2use
  • Example configurations for a wide range of cameras (SerDes, sensor) available, perfect starting point for a project specific logger setup

Turning Generative AI into Smart Recording Capabilities for Test Fleets

October 23

20-minute presentation followed by Q&A

Christoph Michael
Quasara GmbH

 

Quasara has introduced Plato Intelligence Anywhere, an innovative AI system for autonomous driving data collection at ADAS&AV Tech Expo in Stuttgart. This advanced technology, running on measurement cars, utilises the latest GenerativeAI technologies to enhance smart, real-time data acquisition.

The solution detects an unlimited number of objects, situations, and edge cases directly on the vehicle, triggering recording only where it’s needed. Each car performs specific detection tasks and alerts fleet managers upon capturing significant data points. The system also provides statistical analysis during and after drives, aiding in efficient playbook planning. This technology enables companies to reduce driving distances by at least 50% while collecting equivalent valuable data, improving efficiency when recording and increased cost-effectiveness.

By exposing critical edge cases in real-time, Plato Intelligence Anywhere significantly advances the development and deployment of autonomous vehicles, enhancing the reliability of ADAS and autonomous driving.

 

3 Main Takeaways

  • Smart Recording instead of “always-on” recording
  • Detect an unlimited variety of objects, situations and edge cases - no pre-training needed
  • Capture the right data on the vehicle in real-time

Which software makes measurement technology a complete & secure logging solution?

October 23

20-minute presentation followed by Q&A

 

In today's metrology environment, comprehensive software solutions are essential to ensure a complete and secure logging infrastructure. Software components play a critical role in standardizing data formats, ensuring time synchronization, and implementing data encryption. By overcoming the challenges of data source integration and secure data management, our advanced software solutions provide a reliable framework that improves the quality and usability of recorded data, ultimately driving efficiency and innovation in measurement processes.

 

3 Main Takeaways

  • Time Synchronization: Accurate time synchronization is a critical aspect of data acquisition. With our own XTSS technology, b-plus ensures that all recorded data is correctly timed to guarantee the integrity and accuracy of the analyses.
  • Data Encryption: To ensure the security of sensitive data, b-plus uses robust encryption methods. These protect data not only during storage, but also during transmission, especially when using cloud services.
  • User Usability: The software solutions need great emphasis on user-friendliness in order to promote the acceptance of the technologies. Intuitive user interfaces and clear processes are crucial to facilitate the handling of complex measurement technologies and to increase efficiency in daily use.

Key prerequisites for successful data collection and processing

October 23

20-minute presentation followed by Q&A

Steffen Metzner
AVL List GmbH

 

Despite all efforts to carry out tests of vehicle automation functions using simulation technology, a major part of tests and validation is still necessary to be executed with real vehicles. For an efficient development and verification of sensor and perception systems, despite the possibility to log and record high data-rates, highly accurate and reliable ground truth reference sensor devices are necessary. Without such systems, troubleshooting and objective evaluation of vehicle functionalities behaviour become very expensive and often even impossible. The solution discussed in this presentation aims at supporting the development of vehicle automation functionalities during the entire development process. The focus lies on usually underestimated or even missed functionalities like GT-sensor diagnosis and monitoring, time synchronization, calibration (EOL and in-field) and vehicle-setup support. Finally we discuss how online processing can be used to minimize data and prepare the refinement of data evaluation during post-processing.

 

3 Main Takeaways

  • Data collection with or without reference sensors needs direct feedback from the vehicle to the operators of the test-vehicles and to the central office to deliver high value data
  • Especially ground-truth sensors have a very much higher failure rate than mass production sensors and need to be monitored continuously to avoid data waste
  • The calibration of the whole system is crucial for online- and post-processing and is one of the most underestimated topics in the automotive (test-) industry

 

Day 2 - October 24, 2024

 

1:00 PM to 5:15 PM CET

Live Webinar

Session 2 - Datacenter

Scenario-based testing via scenario mining from real-world driving data

October 24

20-minute presentation followed by Q&A

Mario Henrique Cruz Torres
IVEX

 

Automotive OEMs and Tier1’s spend huge amounts of resources testing and validating ADAS functions by collecting real-world driving data during long collection campaigns driving for thousands of kilometers.
Accessing, analyzing and evaluating the data to find specific challenging driving situations requires a big effort, often reserved for highly technical people, which slows the learnings and restricts communication to other colleagues and managers.
IVEX helps automotive companies with the testing and validation of ADAS features through a modular software platform incorporating flexible pipelines, allowing all levels of users to navigate through vast amounts of data collected and automatically generating simulation ready files for specific driving scenarios.
The Software allows to easily pinpoint events through customized metrics and to categorize hours of test data into specific interesting driving scenarios such as Euro NCAP Cut-in.
Further assessment can be performed by navigating, evaluating and easily visualizing the scenarios based on different parameters.

 

3 Main Takeaways

  • Resource-Intensive ADAS Testing: Automotive companies spend significant resources and effort on collecting and analyzing driving data for ADAS validation, requiring highly technical expertise
  • Need for Efficient Data Analysis: Most of the collected data is never used. It is really needed to enable easy event identification and scenario categorization of recorded data, as well as enhancing further assessment and visualization from different technical and not-technical levels
  • IVEX Software Platform: IVEX offers a modular platform that simplifies data analysis, scenario-based testing and data navigation as well as enhances collaboration between teams

Hybrid multi-cloud environments for real-time crash simulations and data analysis in the automotive sector

October 24

20-minute presentation followed by Q&A

Tilmann Schröder 
NetApp

 

In the fast-paced automotive industry, engineering teams often work across different geographical locations on complex and data-intensive tasks such as vehicle design, crash tests and simulations. The challenge is to efficiently manage and process large amounts of data so that teams around the world can collaborate in real time. Our solution combines the benefits of on-premise infrastructures with the scalability and innovation of the cloud, supported by technologies such as NetApp's FlexCache. This enables engineering teams to share data from vehicle tests and simulations in near real-time and work efficiently on vehicle safety tests. b-plus plays a central role in implementing our solution in real automotive environments through advanced in-car storage and ingest stations.

 

3 Main Takeaways

  • Efficient management and processing of large amounts of data in a hybrid multi-cloud environment
  • Real-time collaboration and analysis of vehicle data worldwide through innovative technologies
  • Integration of b-plus technologies to seamlessly capture and store vehicle data for advanced ML analytics

Revolutionizing Storage Technology for Automotive Mass Data in the Datacenter with IBM Storage Ceph

October 24

20-minute presentation followed by Q&A

Frank Kraemer
IBM Germany

 

Join us to explore the revolutionary IBM Storage Ceph storage platform, a 100% open-source software-defined solution providing distributed block, file, and object storage from a single cluster. Uncover its scalability, flexibility, and data safety features, ensuring services without single points of failure. We will delve into exciting advancements such as Ceph Management, NVMe-over-Fabric, Multi-region bucket replication, and S3-Select. Gain a comprehensive understanding of Ceph's architecture and capabilities, and witness how it breaks boundaries in storage technology, shaping the future of Automotive mass data storage in the on-premises and cloud.

 

3 Main Takeaways

  • Scalability: Ceph is highly scalable and can manage storage of any size, making it a great choice for Automotive mass storage. It’s designed to work on commodity hardware
  • Fault Tolerance: Ceph provides excellent fault tolerance through its self-healing capabilities
  • Unified Storage System: Ceph offers a unified storage system, meaning it can handle block storage, object storage, and file storage in the same system

Session 3 - Hardware-in-the-Loop & Datacenter

ADAS/AD Hardware in the Loop testing – scale it up!

October 24

20-minute presentation followed by Q&A

Johann Führmann
b-plus automotive GmbH

 

Gather the optimal insight into the variety of applications in the field of data replay and realtime injection of simulated data. b-plus offers useful information beginning with the differences of closed and open loop setups, the challenges of simulation based realtime injection and how to migrate HiL systems to the cloud infrastructure.

 

3 Main Takeaways

  • Open and closed loop coexist
  • Time synchronization is the magic sauce for multichannel simulation based HiL systems
  • How to scale generic HiL Systems up for data center usage

Tune, Train & Test your ADAS and AV systems with high fidelity synthetic data

October 24

20-minute presentation followed by Q&A

Matt Daley
rFpro

 

The development of ADAS and AV systems no longer needs to rely on real-world data collection alone... Synthetic data is now able to complement and expand the range of safety critical edge case datasets that are used for tuning sensor systems, training perception systems and testing full stack ADAS and AV solutions.

The combination of the industry's leading driving simulation solution from rFpro and data handling solutions from b-plus - combine to form solutions that are able to rapidly accelerate the way that ADAS and AV systems are developed and delivered. Join us to explore how synthetic data delivers both high fidelity open loop data playback and closed loop real-time testing solutions that are changing the way that the next generation of vehicles are being developed.

 

3 Main Takeaways

  • Synthetic data can used for both open loop & closed loop hardware in the loop testing
  • rFpro & b-plus have integrated solutions for hardware in the loop testing
  • rFpro & b-plus both have industry leading products for this application

Session 4 - AI Training & Data optimization

Ensuring Excellence: The Role of Data Quality Assurance in Autonomous Driving Systems

October 24

20-minute presentation followed by Q&A

 

The quality of data is crucial in the development of robust and reliable autonomous driving systems. This presentation delves into the essential role of Data Quality Assurance throughout the lifecycle of autonomous driving datasets, covering processes from specification writing to data annotation and verification. We will address the challenges of managing multi-sensor data and the various types of errors commonly found in training datasets. By providing detailed insights into dataset quality, our CONIX.dpc solution enhances the dataset's utility for training advanced models, reduces risks and enables long-term savings in time and resources.

 

3 Main Takeaways

  • Explore the significant impact of data quality on the development of autonomous driving systems, focusing on key Data QA processes including specification writing, data annotation and data quality checks.
  • Examine the complexities of managing and ensuring the quality of multi-sensor data, and how CONIX.dpc identifies and addresses errors across various data modalities, ensuring the reliability of integrated datasets.
  • Understand how thorough Data QA processes lead to long-term benefits, including reduced development challenges, cost savings, and a better basis for verification of autonomous driving systems.

Scalable and geometrically interpretable sensor-fusion for object detection and driving corridor estimation

October 24

20-minute presentation followed by Q&A

 

Sensor fusion in autonomous driving combines data from multiple sensors to provide a stable and comprehensive model of the environment. While individual sensors have unique perspectives that may include occlusions, misdetections, or accessibility issues, a representation that fuses data from multiple sensors over time can effectively mitigate these individual shortcomings. This presentation delves into the underlying principles and real-world application of geometrically interpretable stochastic filtering in object fusion and real-time driving corridor generation. The advantages of this technology lie in the straightforward addition and removal of sensors from different domains and the enhanced human interpretability. Unlike encapsulated end-to-end deep learning technologies, this interpretability facilitates the validation and certification processes. Results are showcased across various domains, both on and off-road, highlighting the robustness and versatility of this approach in diverse driving environments.

 

3 Main Takeaways

  • Improved Environmental Modeling: Understand how fusing data from multiple sensors over time creates a stable and comprehensive model of the environment, overcoming issues like occlusions, misdetections, and accessibility limitations of individual sensors
  • Versatile and Scalable Technology: Learn about the advantages of geometrically interpretable stochastic filtering, including the easy addition and removal of sensors from different domains and its applicability in both on-road and off-road scenarios
  • Geometrically Interpretable: Discover how the human interpretability of this technology, as opposed to encapsulated end-to-end deep learning methods, paves the way for validation and certifications

Partner

Discover the industry leaders behind our guest speakers.

AVL List GmbH

 

AVL is one of the world's leading mobility technology companies for development, simulation, and testing in the automotive industry and in other sectors such as rail, marine, and energy. Based on extensive in-house research activities, AVL delivers concepts, technology solutions, methodologies, and development tools for a greener, safer, and better world of mobility and beyond. The company supports international partners and customers in their sustainable and digital transformation. The focus lies on the areas of electrification, software, AI and automation. In addition, AVL supports companies in energy-intensive sectors on their way to a greener and more efficient energy generation and supply.

Driveblocks GmbH

 

Founded in December 2021 in Garching near Munich, driveblocks offers a modular software platform for automated and autonomous driving in the commercial vehicle sector. The founding team has many years of experience in the development of algorithms for automated driving. The core technology of driveblocks is a combination of Transformer Neural Networks and sensor fusion to create an environment model based on sensor data. Unlike map-based technologies, there is no need for pre-mapping and constant updating of maps in the cloud. The offering is complemented by algorithms that enable customers to fully automate their vehicles. The driveblocks platform is sold both as individual modules and as a system solution via a licensing model, enabling safe, fast and cost-effective automation of a wide range of applications - in mines, in container terminals or on the motorway.


IBM Germany

 

IBM is a multinational technology company headquartered in Armonk, New York. With a presence in over 175 countries, IBM offers a diverse portfolio of products and services, including storage technology, cloud computing, artificial intelligence, and consulting. Founded in 1911 as the Computing-Tabulating-Recording Company (CTR), it later became known as IBM. The local headquarters in Germany is located in Ehningen. As of December 2023, IBM has approximately 282,200 employees and is organized into divisions such as IBM Technology and IBM Consulting. In 2019, IBM acquired Red Hat. This acquisition allowed IBM to expand its offerings in open-source software, cloud computing, and hybrid cloud solutions. Red Hat continues to operate as a distinct brand within IBM, maintaining its commitment to open-source principles and contributing to various projects in the open-source community.

 

IVEX

 

IVEX provides unique software solutions for Automotive Engineers, enabling efficient testing and validation of ADAS/AD vehicles. 
Our software suite can identify driving scenarios, detect issues in datasets (such as perception and tracking problems), or monitor vehicle systems at runtime to spot issues.
These workflows are supported by data visualization tools to easily handle large files, along with a cloud-deployable data management and analytics platform.
With daily users in Sweden, the US, and Germany, our solutions can be directly accessed or through our partner Siemens.
IVEX tools streamline testing, boost productivity, and ensure safer driving functions for automotive companies.

 


NetApp

 

NetApp offers innovative hybrid cloud solutions that are specifically tailored to the needs of the automotive industry. With NetApp's FlexCache technology, companies benefit from local, low-latency access to critical data and the seamless integration of on-premises and cloud infrastructures. This combination enables real-time collaboration, efficient data processing and dynamic scaling, resulting in shorter development times and faster time-to-market.

Quasara

 

Quasara is a deep tech startup from the TU Munich ecosystem and helps companies to make complex visual data easier to use for the development of autonomous driving. To do so, the team uses the latest embedding models and enables text-based analysis of unlabeled images and videos as well as 'smart recording' directly on measurement technology vehicles. At this year's ADAS&AV Tech Expo in Stuttgart, Quasara presented its latest innovation 'Intelligence Anywhere'. It enables real-time detection of an unlimited number of objects, situations and edge cases directly in the vehicle, without the need for labeling or training of object detection models. Each vehicle can identify predefined classes and trigger the recording of data and summarize it in statistics after the ride.


rFpro

 

rFpro is an engineering-grade simulation environment for the automotive and motorsport industries. It’s used for the development and testing of autonomous vehicles, ADAS, vehicle dynamics and human factor studies – essentially anything that involves driving a vehicle. rFpro’s automotive customers are the world’s largest car manufacturers, tier one suppliers and sensor developers. We enable them to simulate, test and validate new sensors, control systems and vehicle hardware systems. The top 10 OEMs that were early adopters of rFpro technology have already launched road cars which started their development, not on a test track, but in a virtual environment using rFpro.

Solectrix GmbH

 

Founded in 2005 and headquartered in Fuerth, Germany, Solectrix GmbH considers itself as innovator and independent full-service provider of embedded electronic solutions. With a team of more than 150 employees, the company specializes in developing and manufacturing advanced embedded electronics tailored to meet the specific needs of its clients. In addition to custom solutions, Solectrix offers a range of off-the-shelf electronic components and systems, all designed and developed in-house. Solectrix is known for customer orientation, flexibility, and expertise. The company is active in numerous technology fields such as camera systems, medical technology, automotive and industrial applications.

 


SVA System Vertrieb Alexander GmbH

 

With its own Big Data Automotive Competence Center and more than 300 Big Data experts, SVA has the know-how and expertise to seamlessly link complex components of an IT platform and ensures that they work together optimally. By integrating all parts into a coherent, efficient and powerful overall system, SVA makes a decisive contribution to unleashing the full potential of an IT platform for customers and meeting the high demands of the automotive industry.


Speaker

Meet the experts who share their insights and expertise at the TRIPLE-D Sessions.

Adrian Bertl 

Strategic Product Manager Software Solutions

 

Dipl.-Ing. (FH) Adrian Bertl studied media technology at the Deggendorf University of Applied Sciences, specializing in media informatics. He is working for b-plus since 2009 as a team leader for technology-driven product marketing. 2022 he switched in the strategic product management of software for development tools for automated driving.

 

Strategic Product Manager Software Solutions at b-plus technologies GmbH


Alexander Noack

Managing Director & Head of Development

 

From 1992 to 1997 Dipl.-Ing. (FH), MBA Alexander Noack studied communications engineering at the University of Applied Sciences in Regensburg and completed an MBA program at the University of Applied Sciences in Deggendorf in 2003. After holding various positions, among others in the development department of the former Siemens Automotive GmbH, as well as a more than 10 years experience in the implementation of embedded system applications, he joined b-plus GmbH in 2013. Since 2021 he is managing director of b-plus technologies and expert for measurement, logging and simulation systems for driver assistance and autonomous drive systems.

 

Managing Director & Head of Development at b-plus technologies GmbH


Christoph Michael

Chief Customer and Product Officer

Christoph Michael is co-founder of Quasara and takes care of sales, the products and customer projects. Over the course of his career, he has spent a lot of time attempting to evaluate and utilize unstructured and low-quality data and, after a stint at the Munich-based process mining startup Celonis, has dedicated himself to the simple and inexpensive acquisition and use of image and video data.

 

Chief Customer and Product Officer at Quasara GmbH


David Stengel

Software Architect and
Data Processing Lead

As co-founder and Lead Engineer of Incenda AI – a company dedicated to ensuring AI data quality in the automotive sector – David Stengel has played a key role in the processing of datasets. Through the long-standing partnership with and integration of Incenda AI into b-plus in April 2023, he continues to develop robust and efficient solutions across the whole data pipeline.

 

Software Architect and Data Processing Lead at b-plus automotive GmbH


Frank Kraemer

Senior Technical Specialist

Frank Kraemer is an IBM Systems Architect for large scale IT solutions. He has a very good understanding of Data Management for Autonomous Driving (AD) and AI in the Automotive Industry. Frank Kraemer is responsible for helping drive global automotive industry enterprise data strategy and focused on establishing areas of application for the Red Hat OpenShift, full-stack and software-defined computing platform used in areas of deep learning, data science, and artificial intelligence. Specifically, he's been working on technologies related to autonomous vehicles ranging from HPC, AI/deep learning, Data Factory, Validation, Simulation, Replay, Synthetic Data Generation as well as GenAI/LLM, Connected Everything, Smart Mobility, Digital Twins and Cloud Computing.

 

Senior Technical Specialist at IBM Germany


Johannes Zangerle 

Business Developer

 

Dipl.-Ing. (FH) Johannes Zangerle is an expert for measurement solutions for driver assistance and autonomous drive systems. He joined b-plus in 2019 as a Technical Business Developer at b-plus technologies GmbH he defines product features used for high-end measurement and validation solutions for ADAS & AD systems with our customers.

Johannes studied Electrical Engineering and Information Technology at the University of Applied Sciences in Munich and received his diploma in 2004. After that, he focused on measurement and simulation of automotive bus communication on multiple layers for more than 14 years at Elektrobit, among others.

 

Business Developer at b-plus technologies GmbH


Johann Führmann

Head of Business Development

Beginning in the year 2000, Johann Führmann started as software developer for radar and camera based ADAS sensors. Soon after that point an emphasis on HiL systems for ADAS ECUs evolved. Accompanying several TIER1s over years in ADAS/AD projects he now represents the portfolio of the b-plus group as expert for automotive software development and HiL solutions as Business Developer.

 

Head of Business Development at b-plus automotive GmbH


Mario Ehrenberger

Head of Competence Center
Automotive Big Data Services

Mario Ehrenberger heads the Automotive Big Data Services Competence Center at SVA and pursues the mission of paving the way for the automotive sector to become a data-driven enterprise. Together with his team, he helps to develop new data-driven use cases in the industry.

 

Head of Competence Center Automotive Big Data Services at SVA System Vertrieb Alexander GmbH


Mario Henrique Cruz Torres

CEO & Co-Founder

Mario Henrique Cruz Torres is CEO & co-Founder of IVEX. He leads the company strategy and product roadmap. IVEX creates tools for the validation and testing of autonomous driving and driver assistance functions. Before founding IVEX, he obtained a PhD in Computer Science and worked as post-doctoral researcher studying how to create safe and autonomous drones. 

Mario is passionate about solving complex problems, working with great people, and a good coffee.

 

CEO & Co-Founder at IVEX


Matt Daley

Technical Director

Matt Daley is Technical Director at rFpro – the leading simulation environment for the development and testing of ADAS, autonomous vehicles, vehicle dynamics and human factor studies.

His passion for his work encourages the team to push the boundaries of simulation, ensuring rFpro continually develops how the real world is modelled for its customers. Matt’s earlier career was spent within world championship-winning F1 teams, including Ferrari and McLaren, where he honed his skill for applying fundamental engineering principles to solving important technology challenges. 

As part of rFpro’s expert team, Matt has enabled companies to make use of simulation in a wide variety of applications, from OEM vehicle dynamics, Tier1 sensor and system developments, through to world leading motorsports championships.

 

Technical Director at rFpro


Peter Kirsch

Business Development Manager

Peter Kirsch is a business development manager for the video grabber and playback system proFRAME at Solectrix GmbH in Fürth/Germany. He joined Solectrix in 2020, the focus of his work is on product strategy, product marketing, product sales as well as partner management.

Peter studied Electrical Engineering at the Friedrich Alexander University in Erlangen and received his diploma in 1994. After that he first focused on digital signal processing and embedded software development for telecommunication and automotive applications, followed by various positions in team management, product management and business development management for ADAS/AD validation systems.

 

Business Development Manager at Solectrix GmbH


Stefan Jährling

Automotive Architect

Stefan Jährling has been a member of SVA's automotive team since 2021 and works as an IT architect with a focus on the automotive industry.
He is driven by holistic consulting and uses this approach to develop pioneering, sustainable and data-driven solutions.

 

Automotive Architect at SVA System Vertrieb Alexander GmbH


Steffen Metzner

Global Product Manager

Steffen Metzner is working for the division Instrumentation and Test-Systems at AVL. He studied Electrical Engineering specialized in Automation Technologies at University of applied science in Aachen and Control Engineering at Coventry University. Steffen Metzner joined AVL in 2007 as lead engineer responsible for the embedded systems software development process. In his current position as product manager, he is leading the development and market introduction of reference systems for verification and validation of automated vehicle functionalities at AVL.

 

Global Product Manager at AVL List GmbH


Tilmann Schröder

Chief Technology Officer
Automotive & MFG

Leading the transformation of automotive and cloud solutions at NetApp, Tilmann Schröder architects high-impact technology strategies and solutions that propel business growth. His core competencies lie in the development of industry-specific reference architectures and implementing solutions. Key focus areas: Vertical cloud solutions, Machine Learning, and High-Performance Computing (HPC) cloud infrastructure. 

 

Chief Technology Officer Automotive & MFG at NetApp


Tim Stahl

Co-Founder & Environment Model Lead

Tim Stahl leads the design and development of the sensor fusion and environment model algorithms which ensure that the driveblocks autonomy platform can achieve maximum safety and redundancy. During his time as a research associate at the TUM, Tim was a member of the Indy Autonomous Challenge winning race team. He has been involved in programming automated systems for over 10 years and focused on lidar localization, trajectory planning, and safety during his PhD. The technical know-how is complemented by more than five years of industry experience.

 

Co-Founder & Environment Model Lead at driveblocks GmbH


Host

Get to know the host of the event.

b-plus Group

 

The b-plus Group is with around 240 employees an international leading development partner for advancing technologies in the fields of autonomous driving, driver assistance systems and the automation of mobile machines. With its development tools, automotive software and mobile automation divisions, it offers its customers a wide range of measurement technology, software and hardware.

As a long-term partner, b-plus accompanies its customers from the identification of the problem to the implementation of the development solution and beyond. The teams at the Deggendorf, Regensburg, Cham and Lindau locations work hand in hand to provide comprehensive and holistic solutions.


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Do you have any questions or would like to find out more about TRIPLE-D Sessions? Feel free to contact us, we look forward to hearing from you!

 

b-plus GmbH

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E-Mail: marketing(at)b-plus.com

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