Cover Image

Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Solaas, J. R. V., Tuptuk, N., Mariconti, E.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application of AI-based Models for Online Fraud Detection and Analysis
by: Papasavva, Antonis, et al.
Published: (2024)

A Systematic Review on Crimes facilitated by Consumer Internet of Things Devices
by: Brown, Ashley, et al.
Published: (2025)

Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning
by: Lebaku, Prathyush Kumar Reddy, et al.
Published: (2025)

URB -- Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
by: Akman, Ahmet Onur, et al.
Published: (2025)

A Survey of Anomaly Detection in In-Vehicle Networks
by: Özdemir, Övgü, et al.
Published: (2024)

Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
by: Su, Jing, et al.
Published: (2024)

Explainable Anomaly Detection for Electric Vehicles Charging Stations
by: Cederle, Matteo, et al.
Published: (2025)

Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
by: Wen, Ruoqi, et al.
Published: (2023)

GRAD: Real-Time Gated Recurrent Anomaly Detection in Autonomous Vehicle Sensors Using Reinforced EMA and Multi-Stage Sliding Window Techniques
by: Naeimi, Mohammad Hossein Jafari, et al.
Published: (2025)

Anomaly Detection for IoT Global Connectivity
by: Iglesias, Jesus Omaña, et al.
Published: (2025)

Scalable Hierarchical AI-Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks
by: Shit, Rathin Chandra, et al.
Published: (2025)

Privacy-Preserving in Connected and Autonomous Vehicles Through Vision to Text Transformation
by: Rezaei, Abdolazim, et al.
Published: (2025)

Robust Anomaly Detection through Multi-Modal Autoencoder Fusion for Small Vehicle Damage Detection
by: Khan, Sara, et al.
Published: (2025)

EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset
by: Hojjati, Hadi, et al.
Published: (2026)

Federated Learning for Drowsiness Detection in Connected Vehicles
by: Lindskog, William, et al.
Published: (2024)

Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
by: Moriano, Pablo, et al.
Published: (2024)

A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles
by: Wang, Jiayuan, et al.
Published: (2025)

MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
by: Chen, Xi, et al.
Published: (2024)

Reading Calibrated Uncertainty from Language Model Trajectories
by: Eusebi, Aliai, et al.
Published: (2026)

Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
by: Zhou, Wei, et al.
Published: (2021)

Anomaly Detection in Electric Vehicle Charging Stations Using Federated Learning
by: C, Bishal K, et al.
Published: (2025)

Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis
by: Maresca, Fabio, et al.
Published: (2024)

Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
by: Xu, Qian, et al.
Published: (2025)

Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention
by: Lee, Sang-Hyun, et al.
Published: (2024)

Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication
by: Bastola, Ashish, et al.
Published: (2025)

A Systematic Literature Review on Multi-label Data Stream Classification
by: Freire-Oliveira, H., et al.
Published: (2025)

Constraining Anomaly Detection with Anomaly-Free Regions
by: Toller, Maximilian, et al.
Published: (2024)

STREAM-VAE: Dual-Path Routing for Slow and Fast Dynamics in Vehicle Telemetry Anomaly Detection
by: Özer, Kadir-Kaan, et al.
Published: (2025)

Cluster Aware Graph Anomaly Detection
by: Zheng, Lecheng, et al.
Published: (2024)

Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data
by: Voronin, Sergei, et al.
Published: (2024)

Anomaly Detection in Medical Imaging -- A Mini Review
by: Tschuchnig, Maximilian E., et al.
Published: (2021)

Revisiting OmniAnomaly for Anomaly Detection: performance metrics and comparison with PCA-based models
by: Alves, Bruna, et al.
Published: (2026)

Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
by: Goina, Dacian, et al.
Published: (2024)

Reinforcement Learning for Pollution Detection in a Randomized, Sparse and Nonstationary Environment with an Autonomous Underwater Vehicle
by: Zieglmeier, Sebastian, et al.
Published: (2025)

End-to-End Convolutional Activation Anomaly Analysis for Anomaly Detection
by: Kozłowski, Aleksander, et al.
Published: (2024)

Anomaly Detection via Autoencoder Composite Features and NCE
by: Liao, Yalin, et al.
Published: (2025)

Dive into Time-Series Anomaly Detection: A Decade Review
by: Boniol, Paul, et al.
Published: (2024)

Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling
by: Smith, S. M., et al.
Published: (2024)

Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
by: Dehrouyeh, Fatemeh, et al.
Published: (2025)

Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
by: Schulze, J. -P., et al.
Published: (2021)