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 …
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 …
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 …
The remarkable advancements in Deep Learning (DL) algorithms have fueled enthusiasm for using Artificial Intelligence (AI) technologies in almost every domain; however, the …
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 …
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 …
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 …
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 …
Emerging vehicular ad hoc network (VANET) applications are requiring a lot more communication and computation capabilities. Today's cloud infrastructures are not …