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 …
X Wang, S Zhang, H Peng - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
A highly automated vehicle (HAV) is a safety-critical system. Therefore, a verification and validation (V&V) process that rigorously evaluates the safety of HAVs is necessary before …
This article studies the class of scenario-based safety testing algorithms in the black-box safety testing configuration. For algorithms sharing the same state–action set coverage with …
S Tang, Z Zhang, J Zhou, Y Zhou… - 2023 IEEE 34th …, 2023 - ieeexplore.ieee.org
Autonomous Driving Systems (ADS) are safety-critical and require comprehensive testing before their deployment on public roads. Most existing testing approaches consist in …
X Zhao, J Sun, M Wang - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Interacting with human road users is one of the most challenging tasks for autonomous vehicles. For congruent driving behaviors, it is essential to recognize and comprehend …
Y Li, H Guan, X Jia, C Duan - Applied Sciences, 2023 - mdpi.com
A scenario vehicle in autonomous driving simulations is a dynamic entity that is expected to perform trustworthy bidirectional interaction tasks with the autonomous vehicle under test …
Safety evaluation is crucial for the mass deployment of highly automated vehicles (HAVs). This paper presents a procedure for conducting behavior competence testing for HAVs. First …
W Jiang, J Chen, Y Ma, L Zhang… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
How to narrow the region of unknown unsafe scenarios is the key to improving the performance of Safety of Intended Functionality for Autonomous Vehicles. However, the …