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Beyond Safe Forum

Real-life Safety

Automotive manufacturers are working hard to develop innovative safety technologies and ADA systems that help drivers to avoid potential collisions and reduce the potential impact speed when a collision cannot be avoided.

Predicting the real-life safety benefit of active safety systems is a complex task. Methods are required that can investigate the effectiveness of these systems in real-life situations. Furthermore, the information of real-life safety scenarios can help to significantly improve and speed-up the development of active safety systems. This requires the collection of real-life data from a variety of sensors and subsequently, scenario generation based on the acquired data.

The goal of this forum is to share and discuss visions and ideas about real-life safety on the subjects of data collection, processing and scenario generation. This includes issues such as:

  • Methods and approach
  • Collection and handling large data-sets
  • Real-time scenario recognition
  • Efficient and selective data collection
  • Ground truth scenario generation
  • Virtual world generation
  • ADAS data evaluation and benchmarking


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