Targeting requirements violations of autonomous driving systems by dynamic evolutionary search

Y Luo, XY Zhang, P Arcaini, Z Jin… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
Autonomous Driving Systems (ADSs) are complex systems that must satisfy multiple
requirements such as safety, compliance to traffic rules, and comfortableness. However …

MOSAT: finding safety violations of autonomous driving systems using multi-objective genetic algorithm

H Tian, Y Jiang, G Wu, J Yan, J Wei, W Chen… - Proceedings of the 30th …, 2022 - dl.acm.org
Autonomous Driving Systems (ADSs) are safety-critical systems, and safety violations of
Autonomous Vehicles (AVs) in real traffic will cause huge losses. Therefore, ADSs must be …

Simultaneously searching and solving multiple avoidable collisions for testing autonomous driving systems

A Calò, P Arcaini, S Ali, F Hauer… - Proceedings of the 2020 …, 2020 - dl.acm.org
The oracle problem is a key issue in testing Autonomous Driving Systems (ADS): when a
collision is found, it is not always clear whether the ADS is responsible for it. Our recent …

Av-fuzzer: Finding safety violations in autonomous driving systems

G Li, Y Li, S Jha, T Tsai, M Sullivan… - 2020 IEEE 31st …, 2020 - ieeexplore.ieee.org
This paper proposes AV-FUZZER, a testing framework, to find the safety violations of an
autonomous vehicle (AV) in the presence of an evolving traffic environment. We perturb the …

Generating critical test scenarios for autonomous driving systems via influential behavior patterns

H Tian, G Wu, J Yan, Y Jiang, J Wei, W Chen… - Proceedings of the 37th …, 2022 - dl.acm.org
Autonomous Driving Systems (ADSs) are safety-critical, and must be fully tested before
being deployed on real-world roads. To comprehensively evaluate the performance of …

Testing autonomous cars for feature interaction failures using many-objective search

RB Abdessalem, A Panichella, S Nejati… - Proceedings of the 33rd …, 2018 - dl.acm.org
Complex systems such as autonomous cars are typically built as a composition of features
that are independent units of functionality. Features tend to interact and impact one another's …

Doppelgänger test generation for revealing bugs in autonomous driving software

Y Huai, Y Chen, S Almanee, T Ngo… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Vehicles controlled by autonomous driving software (ADS) are expected to bring many
social and economic benefits, but at the current stage not being broadly used due to …

Targeting patterns of driving characteristics in testing autonomous driving systems

P Arcaini, XY Zhang, F Ishikawa - 2021 14th IEEE Conference …, 2021 - ieeexplore.ieee.org
A common approach in testing automated and autonomous driving systems (ADS) consists
in running the ADS in a simulator where driving and environmental conditions are specified …

Deepscenario: An open driving scenario dataset for autonomous driving system testing

C Lu, T Yue, S Ali - … IEEE/ACM 20th International Conference on …, 2023 - ieeexplore.ieee.org
With the rapid development of autonomous driving systems (ADSs), testing ADSs under
various environmental conditions has become a key method to ensure the successful …

Systematic testing of autonomous driving systems using map topology-based scenario classification

Y Tang, Y Zhou, T Zhang, F Wu, Y Liu… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
Autonomous Driving Systems (ADSs), which replace humans to drive vehicles, are complex
software systems deployed in autonomous vehicles (AVs). Since the execution of ADSs …