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Solution Study: Extending the Lifespan of Autonomous Vehicle Systems with Reconfigurable FPGAs

This case study highlights the benefits of reconfigurable FPGAs in maintaining long-term system adaptability in autonomous vehicles, ensuring hardware longevity and future-proofing the technology. Explore how reconfigurability ensures hardware longevity Learn how to use FPGAs to adapt to software updates and new algorithms Understand cost savings through hardware flexibility Discover real-world examples of FPGAs inRead more

Case Study: FPGA in Sensor Data Processing – Enhancing Real-Time Responses

FPGAs offer flexibility in processing sensor data in real-time. This case study presents how an OEM leveraged FPGA technology to improve response times for perception algorithms and reduce overall system latency. Discover the role of FPGAs in real-time sensor processing Learn how to customize FPGAs for AV tasks Understand FPGA’s adaptability in evolving autonomous environmentsRead more

Solution Study: Scaling V2X Communication for Smart Cities and Autonomous Vehicles

This study demonstrates how V2X communication systems can be scaled for large-scale smart cities, enabling safe and efficient communication between autonomous vehicles and city infrastructure. Discover how V2X systems can scale for urban environments Explore real-world examples of smart city and AV integration Learn about challenges in large-scale V2X deployment Understand how V2X enhances AVRead more

Case Study: Reducing Latency in Autonomous Driving Systems Through Optimized Hardware Architectures

This case study delves into how specific hardware architectures have been optimized to reduce data processing latency, ensuring real-time decision-making for autonomous vehicles. Learn how to optimize hardware for low-latency processing Explore techniques for real-time decision-making Examine case studies of latency reduction in AV systems Discover the impact of faster processing on safety and reliabilityRead more

Case Study: Beyond Lidar – Unlocking High-Resolution Imaging with mmWave Radar Systems

As the automotive industry drives toward scalable, cost-effective autonomous systems, the limitations of traditional camera and lidar-based perception stacks are becoming more apparent. This session, led by Plextek’s radar engineering lead, explores a paradigm shift in sensor fusion strategies—one that leverages the untapped potential of mmWave radar to replace or augment imaging from optical andRead more

Case Study: From foundation to automated insight factory

Sometimes, to go fast, you first need to take it slow. More and more companies creating a solid foundation for analytics regarding apps, In a first step organizations have to cut back and streamlining the different parts and features, creating standards and tools to scale. They can now reap the benefits of having one’s houseRead more

Solution Study: Control System Redundancy for Fail-Safe Autonomous Operation

This study highlights the implementation of redundancy in control system hardware, ensuring fail-safe operations in autonomous vehicles even during hardware failures or system malfunctions. Discover the importance of redundancy in AV control systems. Learn about real-world fail-safe implementations Understand the cost-benefit trade-offs in redundancy systems Explore techniques for monitoring and failure detectionRead more

Keynote: Managing Real-Time Control and High-Performance Compute Tasks in Autonomous Vehicles

This session highlights the challenges and solutions in managing real-time control and high-performance computing tasks in autonomous vehicles, ensuring consistent, safe performance. Understand the challenges in integrating real-time control with compute tasks Explore techniques for managing compute workloads efficientlyRead more

Keynote: Designing Decentralized Sensor Fusion for Embedded Automotive Platforms: Tackling Computational Stability with Square-Root Kalman Filters

As vehicles evolve into perception-rich systems, the ability to reliably integrate data from multiple sensors becomes mission-critical. Yet, decentralized fusion architectures—key to modular and scalable E/E systems—face computational challenges, particularly under finite word lengths and limited precision typical of embedded automotive platforms. In this session, Dr. Yuri A. Vershinin (Senior Member IEEE, Assistant Professor, CoventryRead more

Closing remarks by the Event Chair & we.CONECT Global Leaders GmbH

After another insightful & productive day full of presentations & discussions from the industry, our conference chair concludes the event with a short summary of the most important insights from the sessions.Read more