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Stream A: Perception & Sensor Technology

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Stream B: AI Infrastructure

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Stream A: Deep Learning

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Stream B: Mapping & Localization

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Solution Study: Confidence in the use of software tools for SOTIF related applications

Stock focuses on leveraging software tools to address SOTIF challenges in autonomous driving. He explores effective methodologies and best practices to enhance confidence in SOTIF-related applications, ensuring robust performance in real-world scenarios. Understand the multifaceted nature of SOTIF and its significance in AD systems Dive into evaluation criteria and methodologies for selecting software tools tailoredRead more

1 | World Café: How do full-stack software suites for ADAS revolutionize automotive AI with hardware-agnostic scalability?

How do full-stack ADAS software suites handle hardware diversity while ensuring seamless integration? What strategies are employed to scale AI solutions within ADAS effectively? How does edge computing impact real-time decision-making in ADAS software suites? How do full-stack suites optimize sensor fusion and perception using machine learning? How do these suites ensure compliance with safetyRead more

Case Study: Overview of sensor fusion in autonomous driving

Autonomous driving technology relies on the integration and fusion of data from multiple sensors to perceive the surrounding environment accurately. This presentation provides a concise overview of sensor fusion in autonomous driving systems, covering various essential aspects and AI methodologies employed in the process. Departing from a general overview of latest developments of sensor fusionRead more

Stream A | Solution Study: Liquid AI – A new AI technology – Closing the gaps towards autonomous driving

Today’s AI solutions in the automotive industry are neither scalable, reliable, nor financially viable. Igal Raichelgauz will delve into the future of AI in the automotive industry, highlighting the potential of Liquid AI. It will shed light on the limitations of current AI approaches and reveal the key elements necessary to overcome obstacles in scalability, reliability, andRead more

2 | World Café: Why does seeing beyond tires matter?

Why is tire intelligence a critical parameter in vehicle system controls?  Why do I need to consider tire intelligence for ADAS functions? Why do I need to consider tire intelligence for AV systems? How does tire intelligence improve performance and safety? What are the main challenges in integrating tire intelligence?Read more

5 | World Café: How can AVs safely navigate object detection challenges and cyber threats?

How can we improve object detection in autonomous vehicles to avoid misdetection and false positives? What methods can enhance decision-making in AVs to reduce the chance of errors in critical situations? What protocols exist to combat cyber threats targeting AV systems, particularly object detection and decision-making? How do we ensure data integrity to prevent errorsRead more