[HTML][HTML] Anomaly detection for automated vehicles integrating continuous wavelet transform and convolutional neural network

L Wang, X Zhang - Applied Sciences, 2023 - mdpi.com
Connected and automated vehicles (CAVs) involving massive advanced sensors and
electronic control units (ECUs) bring intelligentization to the transportation system and …

Anomaly detection in automated vehicles using multistage attention-based convolutional neural network

AR Javed, M Usman, SU Rehman… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Connected and Automated Vehicles (CAVs), owing to their characteristics such as seamless
and real-time transfer of data, are imperative infrastructural advancements to realize the …

WKN-OC: a new deep learning method for anomaly detection in intelligent vehicles

Z He, Y Chen, H Zhang, D Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) play a vital role in transforming human mobility,
tackling road congestion and road safety. However, CAVs rely heavily on the security …

[HTML][HTML] Detection and identification of malicious cyber-attacks in connected and automated vehicles' real-time sensors

E Eziama, F Awin, S Ahmed, L Marina Santos-Jaimes… - Applied Sciences, 2020 - mdpi.com
Connected and automated vehicles (CAVs) as a part of Intelligent Transportation Systems
(ITS) are projected to revolutionise the transportation industry, primarily by allowing real-time …

[PDF][PDF] Sensor Data Based Anomaly Detection in Autonomous Vehicles using Modified Convolutional Neural Network.

S Rajendar, VK Kaliappan - Intelligent Automation & Soft …, 2022 - cdn.techscience.cn
Automated Vehicles (AVs) reform the automotive industry by enabling real-time and efficient
data exchange between the vehicles. While connectivity and automation of the vehicles …

Deep real-time anomaly detection for connected autonomous vehicles

R Oucheikh, M Fri, F Fedouaki, M Hain - Procedia Computer Science, 2020 - Elsevier
Connected and autonomous vehicles (CAV) are expected to change the landscape of the
automotive market. They are autonomous decision-making systems that process streams of …

Time-Series Anomaly Detection in Automated Vehicles Using D-CNN-LSTM Autoencoder

F Khanmohammadi, R Azmi - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
It is reasonable to expect Connected and Automated Vehicles (CAVs) to revolutionize the
intelligent world owing to the swapping of seamless and real-time data. Although CAVs …

Real-time sensor anomaly detection and identification in automated vehicles

F Van Wyk, Y Wang, A Khojandi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) are expected to revolutionize the transportation
industry, mainly through allowing for a real-time and seamless exchange of information …

[HTML][HTML] Machine Learning-Based Anomaly Detection for Securing In-Vehicle Networks

A Alfardus, DB Rawat - Electronics, 2024 - mdpi.com
In-vehicle networks (IVNs) are networks that allow communication between different
electronic components in a vehicle, such as infotainment systems, sensors, and control …

Deep learning-based anomaly detection for connected autonomous vehicles using spatiotemporal information

P Mansourian, N Zhang, A Jaekel… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although connected mymargin autonomous vehicles (CAVs) hold great potential to improve
driving safety and experience significantly, cybersecurity remains a critical concern. As the …