The recent proliferation of various wireless sensing systems and applications demonstrates
the advantages of radio frequency (RF) signals over traditional camera-based solutions that …

Multi-sensor fusion has been widely used by autonomous vehicles (AVs) to integrate the
perception results from different sensing modalities including LiDAR, camera and radar …

Simulation is an invaluable tool for radio-frequency system designers that enables rapid
prototyping of various algorithms for imaging target detection classification and tracking …

With the advancement of the Internet of Things (IoT), many devices will be connected to the
Internet, enabling digital twin and smart home applications. However, currently, these IoT …

Using millimeter wave (mmWave) signals for imaging has an important advantage in that
they can penetrate through poor environmental conditions such as fog, dust, and smoke that …

With the rise of hailing services, people are increasingly relying on shared mobility (eg,
Uber, Lyft) drivers to pick up for transportation. However, such drivers and riders have …

The active acoustic sensing system emits modulated acoustic waves and analyzes reflection
signals. It is dominant in acoustic spatial sensing. On the other side, the passive acoustic …

With the rise of hailing services, people are increasingly relying on shared mobility (eg,
Uber, Lyft) drivers to pick up for transportation. However, such drivers and riders have …

Depth imaging is a crucial component in many applications such as simultaneous
localization and mapping (SLAM)[2], autonomous driving [3], and security monitoring [4] …

Despite being widely used in today's portable, small form-factor devices like phones, visible
light camera and lidar sensing quality degrades with occlusions. In contrast, Radio …