This talk will explore Lichtblick, a powerful open-source robotics visualization and diagnosis tool forked from Foxglove, and how it is making a difference for the development processes in the BMW autonomous driving sector. Lichtblick operates across various environments, including developer machines, cloud platforms, and in-vehicle systems, providing flexibility and accessibility throughout the function development lifecycle. The intuitive interface integrates multimodal datasets, such as visual data from cameras, 3D information, and debugging messages, enabling developers to quickly identify patterns, trends, and anomalies. Additionally, Lichtblick supports personalized data experiences, allowing developers to design custom layouts and extensions fit for their specific project requirements and user preferences. By streamlining data visualization, Lichtblick accelerates development cycles and enhances the understanding of the data that drives autonomous systems. 

Join us as we delve into the features of Lichtblick and how we at BMW use it to ensure seamless, quick and easy access to data for everyone.

• Utilization of Lichtblick across cloud, local, and in-vehicle environments
• Development of tailored layouts and extensions for specific project needs
• Presentation of success stories demonstrating Lichtblick’s impact on autonomous driving projects