Single and Mixed Sensory Anomaly Detection in Connected and Automated Vehicle Sensor Networks
Connected and automated vehicles (CAVs), integrated with sensors, cameras, and
communication networks, are transforming the transportation industry and providing new …
communication networks, are transforming the transportation industry and providing new …
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 …
industry, mainly through allowing for a real-time and seamless exchange of information …
Real-time sensor anomaly detection and recovery in connected automated vehicle sensors
In this paper we propose a novel observer-based method to improve the safety and security
of connected and automated vehicle (CAV) transportation. The proposed method combines …
of connected and automated vehicle (CAV) transportation. The proposed method combines …
Anomaly Detection in Connected and Autonomous Vehicles: A Survey, Analysis, and Research Challenges
In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …
innovative advancements such as autonomous driving. These self-driving vehicles, with …
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
D Goina, E Hogea, G Maties - arXiv preprint arXiv:2406.08516, 2024 - arxiv.org
This paper presents a novel anomaly detection methodology termed Statistical Aggregated
Anomaly Detection (SAAD). The SAAD approach integrates advanced statistical techniques …
Anomaly Detection (SAAD). The SAAD approach integrates advanced statistical techniques …
Anomaly diagnosis of connected autonomous vehicles: A survey
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …
transportation due to their potential to improve transportation performance in many ways …
Exploring inherent sensor redundancy for automotive anomaly detection
The increasing autonomy and connectivity have been transitioning automobiles to complex
and open architectures that are vulnerable to malicious attacks beyond conventional cyber …
and open architectures that are vulnerable to malicious attacks beyond conventional cyber …
An anomaly detection study on automotive sensor data time series for vehicle applications
Anomaly detection in automotive systems has been a strong challenge: first, during the
development phase, then after the manufacturing approval in ramp-up production and finally …
development phase, then after the manufacturing approval in ramp-up production and finally …
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 …
electronic control units (ECUs) bring intelligentization to the transportation system and …
A hybrid deep sensor anomaly detection for autonomous vehicles in 6G-V2X environment
Autonomous Vehicles (AVs) exchange real-time and seamless data between other AVs and
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …