Profile & expertise

IEE is a world leader in developing and manufacturing advanced sensing solutions for the automotive industry, building management & security and IoT such as eHealth or eSports. We have been constantly innovating and diversifying our technology offer towards customers for over 30 years. From printed electronics to sophisticated radar and 3D camera systems, we aim to deliver the best quality products and anticipate industry needs.

R&D is an integral part of who we are, it covers an estimated 10% of our activities and our engineers are passionate about working on the next breakthrough invention that can increase people’s safety and level of comfort.

In the automotive field, we work closely with leading car makers around the Globe to be able to supply and manufacture the best components for their systems. Thus, our sensors are present in more than 300 million vehicles. Our areas of expertise are in-vehicle sensing solutions, primarily aiming at passenger and child safety. We pioneered in occupant detection and occupant classification technologies, enabling functions like Seat Belt Reminders respectively automatic airbag deactivation. Our Hands-Off Detection (HOD) sensor, a world’s first using capacitive sensing in the steering wheel, is a key solution for assisted and automated driving. The HOD sensor was awarded with the PACE award, an outstanding distinction in the automotive supplier world.

Our partnership with ALL CIRCUITS allowed us to expand and further grow in the domain of electronics manufacturing services (EMS). We are a global company, headquartered in Bissen, Luxembourg – the first company to open the Automobility Campus. We also have offices and operations in Europe, America, Asia. We count roughly 4.100 employees worldwide.

Role in the Project

IEE plans to contribute to the exploration of systems based on the new sensors in the work package “Development of Short Range 3D-Imaging Systems” in close co-operation with DFKI. This includes the definition and exploration of two demonstrators. The first demonstrator shall be an automotive in-cabin wide-angle demonstrator, being the base for high-resolution 3D car interior mapping and novel safety and comfort functions for new seating arrangements in automated driving and shared mobility. The second demonstrator targets new smart energy-saving sensor systems for intelligent building management.

Among others, the activities for both systems include specification, design, build and test of the demonstrators as well as and their integration into the respective target environment. Furthermore, software tool development, the definition and build of annotated benchmarking databases are required, early in the project. Functional analysis and algorithm design, testing, and embedding shall be done for allowing their implementation in the target environments.

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Dr. Harald Clos received his PhD in Science 1998, at Saarland University, Saarbrücken, Germany, where he graduated in Instrumental and Environmental Analytical Chemistry in 1995. Certified Professional for Requirements Engineering (ISQI, 2008). Harald is with IEE since 1999. He specialized in systems engineering of both automotive and building technology camera system solutions, with a strong side focus on optical system components, and system energy balance evaluation. In addition to monocular and stereovision video camera systems, his 15-year experience in camera system development covers as well long wave infrared (i.e. thermal) and 3D imaging technologies, as well as near infrared illumination systems and camera fusion. He is recently Team Leader System Engineering in the Accelerator AI/Machine Vision department.

CLOS-Harald-IEE Vizta

Dr. Frédéric Grandidier received the Ph.D. degree in engineering from the Ecole de Technologie Supérieure (ETS), Université du Québec, Montréal, Canada in 2003. He was a Temporary Lecturer and Research Assistant at Université Henri Poincaré, Nancy France. His research interests were focusing on Image Processing and Pattern Recognition. After that he joined IEE S.A. Luxembourg in 2006 to work on the development of smart optical systems for automotive applications and building technologies. He is now Team Leader Computer Vision Algorithms in the Accelerator AI/Machine Vision. He is responsible for the algorithm development for the People Counter and Tailgate Detector, TDflex™ products. He is industrial supervisor of PhD students working on camera based innovative car interior application.

Frederic Grandidier

David Hoyer received the electrical engineering degree from the University of Applied Science in Saarbrücken, Germany, in 2003. He joined IEE in 2004 working as a R&D Engineer. He has as Lead Engineer been responsible for the system definition as well as hardware and test specification of capacitive occupant classification systems and pedestrian protection systems. Since 2014 he is in the Accelerator AI/Machine Vision as Project Manager and System Engineer responsible for the definition and development of optical occupant classification and driver monitoring systems.