Vehicular edge computing (VEC) has emerged in the Internet of Vehicles (IoV) as a new
paradigm that offloads computation tasks to Road Side Units (RSU), aiming to thereby …

The book provides a broad overview of the challenges and recent developments in the field
of smart mobility and transportation, including technical, algorithmic and social aspects of …

In this paper we envision a federated learning (FL) scenario in service of amending the
performance of autonomous road vehicles, through a drone traffic monitor (DTM), that also …

In this work we consider a mmWave pulse radar and study the problem of super-resolving
the echoes produced by multiple prospective targets. We derive a novel signal model …

With the development of autonomous technology, the research into multimodal human-
machine interaction (HMI) for autonomous vehicles (AVs) has attracted extensive attention …

Video surveillance is used for analyzing the traffic system and also for controlling it. The
proposed work analyses the image and helps in locating the people who violates the rules …

The research on connected and automated vehicles attracts much attention recently. In
connected vehicle systems, connected cruise control (CCC) is a wildly concerned technique …

The research addresses the Last-Mile Delivery Service with Autonomous Vehicles (LMS-
AV), which focuses on the multiple trips made by autonomous vehicles (AVs). This feature …

Recently developed diffusive memristors have gathered a large amount of research
attention due to their unique property to exhibit a variety of spiking regimes reminiscent to …

This paper explores the problem of energy-efficient shortest path planning on off-road,
natural, real-life terrain for unmanned ground vehicles (UGVs). We present a greedy path …