MSc thesis project proposal
[2020-21, with Thales NL] Cross-modal techniques with deep neural networks for robust sensor fusion
Project outside the university
Thales NL, DelftFrom a different perspective, the availability of multiple simultaneous information captured by different sensors, might provide an improved robustness of the overall systems, especially in the case of failure of one of the sensing nodes, or whether the captured measurements of one of the sensors do not contain relevant information to accurately perform the desired functionality.
The objective of the assignment consists in the definition of cross-modal techniques based on deep neural networks, specifically focusing on the enhancement of the robustness of system consisting on a camera and a radar, for the problem of human-gait classification.
Requirements
Due to the requirements of the project, nationality of EU or at least NATO country is requiredContact
dr. Francesco Fioranelli
Microwave Sensing, Signals and Systems Group
Department of Microelectronics
Last modified: 2021-01-19