Software verification and validation of safe autonomous cars: A systematic literature review

N Rajabli, F Flammini, R Nardone, V Vittorini - IEEE Access, 2020 - ieeexplore.ieee.org
Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

[HTML][HTML] Formal methods and validation techniques for ensuring automotive systems security

M Krichen - Information, 2023 - mdpi.com
The increasing complexity and connectivity of automotive systems have raised concerns
about their vulnerability to security breaches. As a result, the integration of formal methods …

A survey on automated driving system testing: Landscapes and trends

S Tang, Z Zhang, Y Zhang, J Zhou, Y Guo… - ACM Transactions on …, 2023 - dl.acm.org
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Drivefuzz: Discovering autonomous driving bugs through driving quality-guided fuzzing

S Kim, M Liu, JJ Rhee, Y Jeon, Y Kwon… - Proceedings of the 2022 …, 2022 - dl.acm.org
Autonomous driving has become real; semi-autonomous driving vehicles in an affordable
price range are already on the streets, and major automotive vendors are actively …

Testing dnn-based autonomous driving systems under critical environmental conditions

Z Li, M Pan, T Zhang, X Li - International Conference on …, 2021 - proceedings.mlr.press
Due to the increasing usage of Deep Neural Network (DNN) based autonomous driving
systems (ADS) where erroneous or unexpected behaviours can lead to catastrophic …

Testing of autonomous driving systems: where are we and where should we go?

G Lou, Y Deng, X Zheng, M Zhang… - Proceedings of the 30th …, 2022 - dl.acm.org
Autonomous driving has shown great potential to reform modern transportation. Yet its
reliability and safety have drawn a lot of attention and concerns. Compared with traditional …

CLFuzz: Vulnerability detection of cryptographic algorithm implementation via semantic-aware fuzzing

Y Zhou, F Ma, Y Chen, M Ren, Y Jiang - ACM Transactions on Software …, 2023 - dl.acm.org
Cryptography is a core component of many security applications, and flaws hidden in its
implementation will affect the functional integrity or, more severely, pose threats to data …

An investigation of byzantine threats in multi-robot systems

G Deng, Y Zhou, Y Xu, T Zhang, Y Liu - Proceedings of the 24th …, 2021 - dl.acm.org
Multi-Robot Systems (MRSs) show significant advantages to deal with complex tasks
efficiently. However, the system complexity inevitably enlarges the attack surface and adds …

Metamorphic testing of Advanced Driver-Assistance System (ADAS) simulation platforms: Lane Keeping Assist System (LKAS) case studies

M Iqbal, JC Han, ZQ Zhou, D Towey… - Information and Software …, 2023 - Elsevier
Context: Simulation-based testing is essential when developing Advanced Driver-
Assistance Systems (ADASs) and autonomous driving (AD) systems, producing fast, high …

Safety Testing of Automated Driving Systems: A Literature Review

F Khan, M Falco, H Anwar, D Pfahl - IEEE Access, 2023 - ieeexplore.ieee.org
The advancement of automation in safety-critical systems has opened the door to newer
opportunities in several fields. However, the increasing complexity has led to more risks and …