A Semi-Automated Corner Case Detection and Evaluation Pipeline

I Tulleners, T Moers, T Schulik, M Sedlacek - arXiv preprint arXiv …, 2023 - arxiv.org
In order to deploy automated vehicles to the public, it has to be proven that the vehicle can
safely and robustly handle traffic in many different scenarios. One important component of …

PAID: Perturbed Image Attacks Analysis and Intrusion Detection Mechanism for Autonomous Driving Systems

KZ Teng, T Limbasiya, F Turrin, YL Aung… - Proceedings of the 9th …, 2023 - dl.acm.org
Modern Autonomous Vehicles (AVs) leverage road context information collected through
sensors (eg, LiDAR, radar, and camera) to support the automated driving experience. Once …

Machine learning for intrusion detection systems in autonomous transportation

E Gherbi - 2021 - inria.hal.science
Despite all the different technological innovations and advances in the automotive field,
autonomous vehicles are still in the testing phase. Many actors are working on several …

Roadmap for cybersecurity in autonomous vehicles

VK Kukkala, SV Thiruloga… - IEEE Consumer …, 2022 - ieeexplore.ieee.org
Autonomous vehicles are on the horizon and will be transforming transportation safety and
comfort. These vehicles will be connected to various external systems and utilize advanced …

An integrated approach of threat analysis for autonomous vehicles perception system

S Ghosh, A Zaboli, J Hong, J Kwon - IEEE Access, 2023 - ieeexplore.ieee.org
Automated vehicles are a revolutionary step in mobility, providing a safe and convenient
riding experience while keeping the human-driving task minimal to none. Therefore, these …

Safe AI in Autonomous Vehicles: Track at AISoLA 2023

F Howar, H Hungar - International Conference on Bridging the Gap …, 2023 - Springer
Today, the most prominent application of AI technology in the automotive domain is in the
realm of environment perception. The diversity of the traffic environment and the complexity …

[PDF][PDF] A machine learning-based anomaly detection framework for connected and autonomous vehicles cyber security

Q He - 2021 - eprints.nottingham.ac.uk
Abstract Connected and Autonomous Vehicles (CAVs) have expanded fast in recent years
and have started to affect people's daily lives. It is believed that CAVs could bring benefits …

SemanticICV: Endogenous Secure Full-Scenario Learning for Intelligent Connected Vehicles Driven by Semantics

C Zhang, T Zhang, Y Zhao, C Qiu, X Wang… - IEEE …, 2023 - ieeexplore.ieee.org
The emergence of Intelligent Connected Vehicles (ICVs) heralds a transformation in modes
of transportation. This intricate system capitalizes on a wealth of data generated by various …

[PDF][PDF] Machine Learning for Secure Vehicular Communication: an Empirical Study

M Yli-Olli - Aalto University, 2019 - researchgate.net
Connected vehicles are currently in the confluence of major opportunities in marketing
power and major threats in automotive security as in-vehicular technologies from many …

On the role of explainable machine learning for secure smart vehicles

M Scalas, G Giacinto - 2020 AEIT International Conference of …, 2020 - ieeexplore.ieee.org
The concept of mobility is experiencing a serious transformation due to the Mobility-as-a-
Service paradigm. Accordingly, vehicles, usually referred to as smart, are seeing their …