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 …

[HTML][HTML] Applications of Blockchain and Smart Contracts to Address Challenges of Cooperative, Connected, and Automated Mobility

C Kontos, T Panagiotakopoulos… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Population growth and environmental burden have turned the efforts of cities globally toward
smarter and greener mobility. Cooperative and Connected Automated Mobility (CCAM) …

Carlascenes: A synthetic dataset for odometry in autonomous driving

A Kloukiniotis, A Papandreou… - Proceedings of the …, 2022 - openaccess.thecvf.com
Despite the great scientific effort to capture adequately the complex environments in which
autonomous vehicles (AVs) operate there are still uses-cases that even SoA methods fail to …

Open-source integrated simulation framework for cooperative autonomous vehicles

C Anagnostopoulos, C Koulamas… - 2022 11th …, 2022 - ieeexplore.ieee.org
While many mature and reliable simulation engines exist for different system components,
such as the network or the sensing and physics subsystems, the integration of these …

An efficient localization and avoidance method of jammers in vehicular ad hoc networks

I Almomani, M Ahmed, D Kosmanos, A Alkhayer… - IEEE …, 2022 - ieeexplore.ieee.org
Jamming is a terrifying attack that could harm 802.11 p-based vehicular communications by
occupying the communication channels by overwhelming the network with jamming packets …

Extending online 4d situational awareness in connected and automated vehicles

N Piperigkos, C Anagnostopoulos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Empowering each vehicle with 4D situational awareness, ie, accurate knowledge of
neighboring vehicles' 3D locations over time in a cooperative manner, is fundamental for …

Waste not, want not: service migration-assisted federated intelligence for multi-modality mobile edge computing

H Zhou, S Wang, C Jiang, X Zhang, L Guo… - Proceedings of the …, 2023 - dl.acm.org
Future mobile edge computing (MEC) is envisioned to provide federated intelligence to
delay-sensitive learning tasks with multimodal data. Conventional horizontal federated …

Alternating optimization for multimodal collaborating odometry estimation in cavs

N Piperigkos, AS Lalos… - 2022 30th Mediterranean …, 2022 - ieeexplore.ieee.org
Cooperative, Connected and Automated Mobility will enable the close coordination of
actions between vehicles, road users and traffic infrastructures, resulting in profound …

Robustifying cooperative awareness in autonomous vehicles through local information diffusion

N Piperigkos, AS Lalos… - 2022 IEEE 20th …, 2022 - ieeexplore.ieee.org
Cooperative Intelligent Transportation Systems envision the integration of cooperative
intelligence as a key operational part of autonomous driving. In this way, a fleet or swarm of …

Evaluating multidimensional RSSI-based approaches for identifying Sybil nodes in VANETs to improve vehicle network security

G Shobana, AXA Rayan - … Journal of Ad Hoc and Ubiquitous …, 2024 - inderscienceonline.com
Sybil attacks pose a significant security risk to ad hoc sensor networks, distorting information
on traffic congestion, fake message transfers, etc. To address this issue, a novel technique …