Online traffic flow prediction for edge computing-enhanced autonomous and connected vehicles

X Song, Y Guo, N Li, L Zhang - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
The development of edge computing based autonomous and connected vehicles (CAVs)
provides a very promising solution for the construction of intelligent transportation system …

An MLIR-based compiler flow for system-level design and hardware acceleration

NB Agostini, S Curzel, V Amatya, C Tan… - Proceedings of the 41st …, 2022 - dl.acm.org
The generation of custom hardware accelerators for applications implemented within high-
level productive programming frameworks requires considerable manual effort. To automate …

Autonomous valet parking optimization with two-step reservation and pricing strategy

Z Hu, Y Cao, X Li, Y Zhu, M Khalid, N Ahmad - Journal of Network and …, 2023 - Elsevier
With the development of autonomous vehicle, the autonomous valet parking has been
attracting extensive attention, by relieving users' inconvenience from parking. Compared …

Predicting the public adoption of connected and autonomous vehicles

ML Ahmed, R Iqbal, C Karyotis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Connected and Autonomous Vehicles (CAV) are gaining increasing importance due to the
current needs of modern society for better mobility and societal impact. CAV development …

Conceptualisation of human-on-the-loop haptic teleoperation with fully autonomous self-driving vehicles in the urban environment

K Kuru - IEEE Open Journal of Intelligent Transportation …, 2021 - ieeexplore.ieee.org
The automotive industry aims to deploy commercial level-5 fully autonomous self-driving
vehicles (FA-SDVs) in a diverse range of benefit-driven concepts on city roads in the years …

Autonomous vehicular overtaking maneuver: A survey and taxonomy

SS Lodhi, N Kumar, PK Pandey - Vehicular Communications, 2023 - Elsevier
Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …

Countering adversarial attacks on autonomous vehicles using denoising techniques: A review

A Kloukiniotis, A Papandreou, A Lalos… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The evolution of automotive technology will eventually permit the automated driving system
on the vehicle to handle all circumstances. Human occupants will be just passengers. This …

Extending shadow matching to tightly-coupled GNSS/INS integration system

G Zhang, W Wen, B Xu, LT Hsu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Performing precise positioning is still challenging for autonomous driving. Global navigation
satellite system (GNSS) performance can be significantly degraded due to the non-line-of …

The role of utilitarianism, self-safety, and technology in the acceptance of self-driving cars

S Karnouskos - Cognition, Technology & Work, 2021 - Springer
Self-driving vehicles are currently being developed in major industries for mass public
deployment. Their benefits are attractive, and there is interest in having them on the streets …

[HTML][HTML] A novel intrusion detection model for the CAN bus packet of in-vehicle network based on attention mechanism and autoencoder

P Wei, B Wang, X Dai, L Li, F He - Digital Communications and Networks, 2023 - Elsevier
The attacks on in-vehicle Controller Area Network (CAN) bus messages severely disrupt
normal communication between vehicles. Therefore, researches on intrusion detection …