Cross-modal collaborative communications

L Zhou, D Wu, J Chen, X Wei - IEEE wireless communications, 2019 - ieeexplore.ieee.org
It is well known that cross-modal services, including audio, video, and haptic signals, will
inevitably become the mainstream of multimedia applications. However, because there are …

BCC: Blockchain-based collaborative crowdsensing in autonomous vehicular networks

Y Hui, Y Huang, Z Su, TH Luan… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The vehicular crowdsensing, which benefits from edge computing devices (ECDs)
distributedly selecting autonomous vehicles (AVs) to complete the sensing tasks and …

A local trajectory planning and control method for autonomous vehicles based on the RRT algorithm

S Feraco, S Luciani, A Bonfitto… - … of electrical and …, 2020 - ieeexplore.ieee.org
This paper presents a local trajectory planning and control method based on the Rapidly-
exploring Random Tree algorithm for autonomous racing vehicles. The paper aims to …

Identifying the operational design domain for an automated driving system through assessed risk

CW Lee, N Nayeer, DE Garcia… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Assuring the safety of autonomous vehicles is one of the most significant challenges in the
automotive industry. Tech companies and automotive manufacturers use the idea of …

Explainable artificial intelligence (XAI): An engineering perspective

F Hussain, R Hussain, E Hossain - arXiv preprint arXiv:2101.03613, 2021 - arxiv.org
The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm
for using Artificial Intelligence (AI) technologies in almost every domain; however, the …

Revolution on wheels: A survey on the positive and negative impacts of connected and automated vehicles in era of mixed-autonomy

W Yue, C Li, P Duan, FR Yu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of autonomous driving technology, it is foreseeable that connected
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …

Exploring causes and effects of automated vehicle disengagement using statistical modeling and classification tree based on field test data

S Wang, Z Li - Accident Analysis & Prevention, 2019 - Elsevier
Automated vehicles (AV) testing on the public roads is ongoing in several states in the US as
well as in Europe and Asia. As long as the automated vehicle technology has not achieved …

Autonomous field management–An enabler of sustainable future in agriculture

D Gackstetter, M von Bloh, V Hannus, ST Meyer… - Agricultural …, 2023 - Elsevier
CONTEXT Technological innovations in agriculture are mainly driven by the maxim:
increase productivity at any costs. Today, in the face of climate change and an …

[HTML][HTML] Vulnerable road users and connected autonomous vehicles interaction: A survey

A Reyes-Muñoz, J Guerrero-Ibáñez - Sensors, 2022 - mdpi.com
There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …

Integrating fog computing with VANETs: A consumer perspective

HA Khattak, SU Islam, IU Din… - IEEE Communications …, 2019 - ieeexplore.ieee.org
Emerging vehicular ad hoc network (VANET) applications are requiring a lot more
communication and computation capabilities. Today's cloud infrastructures are not …