CORDIS Project
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This project aims to develop a transparent and explainable deep learning system for visual scene understanding. By integrating various data types and addressing uncertainties, the technology seeks to enhance user trust in applications such as mobile robotics and intelligent vehicles.
Explanations are valuable because they scaffold the kind of learning that supports adaptive behaviour, e.g. explanations enable users to adapt themselves to the situations that are about to arise.
Explanations allow us to attain a stable environment and have the possibility to control it, e.g. explanations put us in a better position to control the future.
Explanations in the medical domain can help patients identify and monitor the abnormal behaviour of their ailment.
In the domain of self-driv…
HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
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Germany, Tuebingen
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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