Processing & Sensing: How to implement and connect essential sensor types and ECUs to track (moving) objects in the vehicle’s surrounding, regardless of adverse weather conditions?

ADAS & Sensor Fusion: Which tools enable ADAS system performance optimization through fusing data from multiple sensors?

Control & Functions: How to develop independent, tailored control and functions for proof-of-concept and series production including functional safety, cybersecurity and V2X?

How to integrate enabling technologies such as AI, Machine Learning, VR and AR in ADAS applications?

How to integrate and train Deep Learning algorithms and Neural Networks on ADAS functions?

ADAS & Testing: How to implement reliability testing methodologies to reduce test efforts and optimize ADAS performance - from virtual to proving ground and real world?

Validation & Calibration: Which tools speed up validation and approval processes for ADAS functions in all possible conditions?

Simulation for ADAS Applications: How to implement efficient simulation and testing environments with a high level of accuracy and reliability to reach key development goals?

Vehicle Data Analytics: How to manage vehicle data collection and define KPIs to make sense of generated ADAS testing data?

ADAS & HMI: How to design systems and connect them with the human driver to enable joint communication and safe driving operations?

Connectivity: How do V2V/V2X connectivity and telematics impact the robustness of ADAS systems?

System Design: What are promising standard interfaces, open to third-party models and hardware?