A wide range of advanced deep learning algorithms have recently been proposed for image
classification and object detection. However, the effectiveness of these methods can be …

The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

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

Object detection is an important perception task in autonomous driving and advanced driver
assistance systems. The visible camera is widely used for perception, but its performance is …

Millimeter-wave radar and machine vision are both important means for intelligent vehicles
to perceive the surrounding environment. Aiming at the problem of multi-sensor fusion, this …

With autonomous driving developing in a booming stage, accurate object detection in
complex scenarios attract wide attention to ensure the safety of autonomous driving …

In recent years, unmanned surface vehicles (USVs) have been experiencing growth in
various applications. With the expansion of USVs' application scenes from the typical marine …

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

Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-
driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack …

Fusion of multiple sensor modalities such as camera, Lidar, and Radar, which are commonly
found on autonomous vehicles, not only allows for accurate detection but also robustifies …