Automotive perception involves understanding the external driving environment and the
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …

The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …

In this work, we present a cloud-based system for noncontact, real-time recognition, and
monitoring of physical activities and walking periods within a domestic environment. The …

We propose a novel corridor or hallway gait monitoring system based on radar signal
processing, unsupervised learning, and a subject detection, association and tracking …

In this article, we use a multiple-input–multiple-output (MIMO) radar for in-vehicle passenger
detection. We propose a 2-D convolutional neural network-long short-term memory (CNN …

This paper presents a novel hallway gait extraction system that enables an individual's
spatiotemporal gait parameter extraction at each gait cycle using a single FMCW (Frequency …

Future vehicles will be increasingly connected to enable new applications and improve
safety, traffic efficiency and comfort, through the use of several wireless access technologies …

In the past decade, there has been an increasing demand for in-vehicle safety sensors. In
this paper, we use a multi-input multi-output (MIMO) frequency modulated continuous wave …

In the present investigation, the impacts of antenna field of view (FOV) on the accuracy of
machine learning (ML) models utilized for the classification of various unmanned air vehicle …

This study presents the practical implementation and validation of an automotive active road
noise control (ARNC) system that can concentrate control efforts on a selected position by …