Hood: Real-time robust human presence and out-of-distribution detection with low-cost fmcw radar
Human presence detection in indoor environments using millimeter-wave frequency-
modulated continuous-wave (FMCW) radar is challenging due to the presence of moving …
modulated continuous-wave (FMCW) radar is challenging due to the presence of moving …
Reconstruction-based out-of-distribution detection for short-range fmcw radar
Out-of-distribution (OOD) detection recently has drawn attention due to its critical role in the
safe deployment of modern neural network architectures in real-world applications. The …
safe deployment of modern neural network architectures in real-world applications. The …
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing
Radar sensors offer power-efficient solutions for always-on smart devices, but processing
the data streams on resource-constrained embedded platforms remains challenging. This …
the data streams on resource-constrained embedded platforms remains challenging. This …
A Practical Reinforcement Learning Framework for Automatic Radar Detection
J YU, Y CHEN - ZTE Communications, 2023 - zte.magtechjournal.com
At present, the parameters of radar detection rely heavily on manual adjustment and
empirical knowledge, resulting in low automation. Traditional manual adjustment methods …
empirical knowledge, resulting in low automation. Traditional manual adjustment methods …