The field of information fusion has been undergoing major changes due to the ubiquity of heterogeneous sensors, rapid development in computing technology, intense focus on data-driven techniques and emerging application domains such as intelligent transportation.
For 2019 we have accepted the following panel discussions on these emerging topics.
|Machine Learning for Sensor Data Fusion - Opportunities and Challenges||
Chee-Yee Chong, Independent Researcher, USA
Wolfgang Koch, Fraunhofer FKIE & University of Bonn, Germany
Tien Pham, US Army Research Laboratory, USA
|Benefits and Challenges of Using Artificial Intelligence (AI) Technologies Throughout the Phases of the Decision Cycle, the Canadian Perspective||Elisa Shahbazian, OODA Technologies Inc., Canada|
|Verification and Validation Requirements on Real Time Multi-Level Sensor Data Sensor Fusion Approaches and Artificial Intelligence Concepts Designed for Autonomous Driving||
Bharanidhar Duraisamy, Daimler AG, Germany
Ting Yuan, Mercedes-Benz R&D, USA
Tilo Schwarz, Daimler AG, Germany
Martin Fritzsche, Daimler AG, Germany