Radar is a key component of the suite of perception sensors used for safe and reliable
navigation of autonomous vehicles. Its unique capabilities include high-resolution velocity …

Human activity recognition (HAR) is a key enabling technology for a wide range of emerging
applications. Although multimodal sensing systems are essential for capturing complex and …

Deep learning-based object detection technology can efficiently infer results by utilizing
graphics processing units (GPU). However, when using general deep learning frameworks …

Human identification is a key requirement for many applications in everyday life, such as
personalized services, automatic surveillance, continuous authentication, and contact …

This article presents a millimeter wave (mmWave) imaging radar-based real-time multiclass
object recognition system for advanced driver-assistance system (ADAS) applications …

Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …

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

As a direct depth sensor, radar holds promise as a tool to improve monocular 3D object
detection, which suffers from depth errors, due in part to the depth-scale ambiguity. On the …

Vision-based drone-view object detection suffers from severe performance degradation
under adverse conditions (eg, foggy weather, poor illumination). To remedy this, leveraging …

Besides standard cameras, autonomous vehicles typically include multiple additional
sensors, such as lidars and radars, which help acquire richer information for perceiving the …