Making Sensor Fusion happen – What are tools & technologies to combine data from different sensor types?

Automotive Imaging via Camera Sensors - How to develop & implement camera algorithms that enable tasks from object recognition & classification to localization, planning and even decision making?

Which tools enable precise and robust localization across different environments, weather conditions and illuminations?

Creating Digital Twins of roads – What’s the toolkit for building HD Maps that make vehicles location- and environment-aware, even despite GPS outages?

Repolishing camera images – How to automate camera tuning for computer vision approaches?

How can AI-powered perception and sensor fusion help to ensure safety?

Realizing SLAM - How to solve the challenge of simultaneous localization and mapping by using computer vision and machine learning techniques?

Managing Testing Requirements - What are effective validation & verification methods for Autonomous Driving systems?

Insights of AI to increase testing coverage of AVs – how to validate data using qualitative approaches

Training indoors – How do virtual testing architectures that exactly reproduce lighting and weather conditions look like?

How to enable deep learning with synthetic data from driving simulations?

Exceeding Machine Learning limits – What tools to use for deep learning with multi-sensor data?

Data processing and AI – how to develop software architectures and overcome hardware challenges?

No data, no self-driving car - How to build/use training data platforms to train and validate machine learning models?