22nd International Conference on Information Fusion
Ottawa, Canada | July 2-5, 2019

Fusion 2019 > Program > Overview | Keynotes* | Special Sessions | Tutorials* | Panel Discussions | Software Demos*

Panel Discussions

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.



Title Authors
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