Projects
New-to-nature Biological Sensors: Unlocking the full potential of biological sensors beyond nature Ghent University
“If you can not measure it, you can not improve it” (Lord Kelvin) clearly articulates the need for efficient and robust sensors in all fields of science and technology, especially in pharma, agriculture, environment, food and industrial biotechnology. However, current analytic techniques require laborious, expensive multi-step processes with highly specialized, non-portable equipment. As a solution, all living organisms have been evolving and ...
Low cost bridge health monitoring by ambient vibration tests using wireless sensors (Spanish) Ensayos dinámicos de bajo coste para el mantenimiento de puentes sometidos a cargas ambientales no controladas, utilizando sensores inalámbricos. KU Leuven
Economic/technical feasibility study for the use of MIP-based sensors in the vegetables and potato processing sector Flanders' FOOD
Senses as tools. A philosophy of the sensory modalities. University of Antwerp
Multi-modal sensor fusion for deep state estimation Ghent University
There is an abundance of sensory information being collected by sensors since the emergence of the Internet of things. Combining this information (sensor fusion) to get a meaningful picture of the system under observation currently needs a lot of expert knowledge and human engineering, which doesn't scale well with the growing amount of sensors available. These sensors can vary strongly (multi-modality), ranging from complex depth camera's to ...
Hybrid E-Tattoo: A platform for sensor fusion of smart textiles and skin adhesives for the next generation of smart wearables Hasselt University
Neuromorphic Sensor Fusion and Continual Learning for Drone Navigation and Radar Sensing KU Leuven
Today, there is an ever increasing demand for embedding advanced intelligence
capabilities in energy- and area-constrained battery-powered devices such as
advanced wearables, on-body health monitoring systems, AR / VR headsets and
small robots such as drones. Therefore, there has been a surge in research effort
focusing on the use of Deep Neural Networks (DNNs) and their acceleration in
specialized hardware. However, ...
The Internet of Drops: linking small water related observations towards a cloud of data with IoT enabled sensor networks KU Leuven
Integrated Water Resources Management (IWRM) is an approach to come to efficient, equitable and sustainable solutions to water problems. It needs a combination of various disciplines and the active involvement of all stakeholders. Many water resources engineers in the Global South are now trained in the use of hydrological models to assess how ongoing trends or new policy measures will affect water resources on the longer term. They often ...
Optimal Sensor Fusion for Autonomous Inland Shipping KU Leuven
Autonomous vessels for inland waterways will provide a solution to multitude of socio-economic problems. While the inland shipping sector suffers from an outflow of shippers and a lack of investment in new vessels resulting in the use of old-fashioned barge designs, a sustainable solution needs to be found for the ever increasing logistical transport sector e.g. Europe expects a 50% growth of cargo in EU ports by 2030. This outflow of labour ...