Anomaly detection in connected and autonomous vehicles: A survey, analysis, and research challenges

S Baccari, M Hadded, H Ghazzai, H Touati… - IEEE …, 2024 - ieeexplore.ieee.org
In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …

Connected autonomous vehicles: State of practice

MM Islam, AAR Newaz, L Song, B Lartey… - … Stochastic Models in …, 2023 - Wiley Online Library
Connected autonomous vehicles (CAVs) have the potential to deal with the steady increase
in road traffic while solving transportation related issues such as traffic congestion, pollution …

Anomaly diagnosis of connected autonomous vehicles: A survey

Y Fang, H Min, X Wu, W Wang, X Zhao… - Information …, 2024 - Elsevier
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

Situation awareness in ai-based technologies and multimodal systems: Architectures, challenges and applications

J Chen, KP Seng, J Smith, LM Ang - IEEE Access, 2024 - ieeexplore.ieee.org
Situation Awareness (SA) is a process of sensing, understanding and predicting the
environment and is an important component in complex systems. The reception of …

A federated platform enabling a systematic collaboration among devices, data and functions for smart mobility

L You, M Danaf, F Zhao, J Guan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Through the vast adoption and application of emerging technologies, the intelligence and
autonomy of smart mobility can be substantially elevated to address more diversified …

Spoofing detection for lidar in autonomous vehicles: A physical-layer approach

X Hu, T Liu, T Shu, D Nguyen - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Recent years have witnessed the ever-growing interest and adoption of autonomous
vehicles (AVs), thanks to the latest advancement in sensing and artificial intelligence (AI) …

Multivehicle multisensor occupancy grid maps (MVMS-OGM) for autonomous driving

X Zheng, Y Li, D Duan, L Yang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In autonomous driving, environment perception is the fundamental task for intelligent
vehicles which provides the necessary environment information for other applications. The …

Multisensorial generative and descriptive self-awareness models for autonomous systems

CS Regazzoni, L Marcenaro, D Campo… - Proceedings of the …, 2020 - ieeexplore.ieee.org
In a computational context, self-awareness (SA) is a capability of an autonomous system to
describe the acquired experience about itself and its surrounding environment with …

Task scheduling with UAV-assisted vehicular cloud for road detection in highway scenario

J Li, X Cao, D Guo, J **e, H Chen - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Vehicular cloud computing (VCC) has been utilized to enhance traffic management and
road safety. By connecting with base stations (BSes), VCC can provide the information of …

[HTML][HTML] A secure and trusted context prediction for next generation autonomous vehicles

G Rathee, S Garg, G Kaddoum, BJ Choi… - Alexandria Engineering …, 2023 - Elsevier
To ensure better facilitation of vehicular services and improve driving safety in the Internet of
Vehicles (IoV), context prediction among vehicles plays a very crucial role. However, as …