Multi-Modal Cross Learning for an FMCW Radar Assisted by Thermal and RGB Cameras to Monitor Gestures and Cooking Processes

Multi-Modal Cross Learning for an FMCW Radar Assisted by Thermal and RGB Cameras to Monitor Gestures and Cooking Processes

This paper proposes a multi-modal cross learning approach to augment the neural network training phase by additional sensor data. The approach is multi-modal during training (i.e., radar Range-Doppler maps, thermal camera images, and RGB camera images are used for training). In inference, the approa...

Full description

Bibliographic Details
Main Authors: Marco Altmann, Peter Ott, Nicolaj C. Stache, Christian Waldschmidt
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Machine learning
neural networks
radar applications
multimodal sensors
cross learning
autoencoder
Online Access:https://ieeexplore.ieee.org/document/9345685/

Internet

https://ieeexplore.ieee.org/document/9345685/

Similar Items