In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …

3D-LiDAR-based cooperative perception has been generating significant interest for its
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …

Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and
reliability of electric vehicles (EVs). The EV's power train and energy storage, namely the …

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Localization is critical for automated vehicles as it provides essential position, velocity, and
heading angle information to perform object tracking, trajectory prediction, motion planning …

The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one
of the pathways making contributions to decarbonization, and its energy management …

Light Detection and Ranging (LiDAR) technology is positioning itself as one of the most
effective non-destructive methods to collect accurate information on ground crop fields, as …

Complete autonomous systems such as self-driving cars to ensure the high reliability and
safety of humans need the most efficient combination of four-dimensional (4D) detection …

The emergence of smart cities has addressed many critical challenges associated with
conventional urbanization worldwide. However, sustainable traffic management in smart …

In this article, we present secure cooperative localization for connected automated vehicles
(CAVs) based on consensus estimation through leveraging shared but possibly attacked …