Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles

Z Zhong, G Kaiser, B Ray - IEEE Transactions on Software …, 2022 - ieeexplore.ieee.org
… We realize our evolutionary fuzzing design discussed in Section 4 following the main
steps: Sampling, Seed Selection, and Mutation (see Figure 1). Algorithm 2 in Appendix A in …

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
… proposes AV-FUZZER, a testing framework, to find the safety violations of an autonomous
vehicle (AV) in … A subroutine of a local fuzzer will be called while the evolution process of the …

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
… to traditional fuzzing approaches that feature a high fuzzing … cost than physically testing
autonomous vehicles (§4.3.2); we … the ADS issues in this paper with a real autonomous vehicle. …

LawBreaker: An approach for specifying traffic laws and fuzzing autonomous vehicles

Y Sun, CM Poskitt, J Sun, Y Chen, Z Yang - Proceedings of the 37th IEEE …, 2022 - dl.acm.org
… Since there is no existing framework to support the evaluation of traffic laws, we compare
our fuzzing algorithm against a fuzzing algorithm based on random generation. For our fuzzing

[PDF][PDF] SPFuzz: Stateful path based parallel fuzzing for protocols in autonomous vehicles

J Yu, Z Luo, F Xia, Y Zhao, H Shi… - Design Automation …, 2024 - fouzhe.github.io
… The rapid evolution of autonomous vehicles necessitates advanced communication
protocols to ensure seamless interactions among diverse system components. However, these …

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
… which the autonomous vehicle under test fails (eg, the vehicle … and multidimensional,
evolutionary search techniques [6]–[14… [12] introduce AV-FUZZER, a framework based on fuzzing

Coverage-based scene fuzzing for virtual autonomous driving testing

Z Hu, S Guo, Z Zhong, K Li - arXiv preprint arXiv:2106.00873, 2021 - arxiv.org
… driven Autonomous Safety Fuzzing technique. At the high level, ASF adopts the idea of
software fuzzing testing for … The second fuzzer is the state-of-the-art autonomous vehicle safety …

Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems

TMT Pham, B Yang, J Yang - arXiv preprint arXiv:2408.13686, 2024 - arxiv.org
… Given a set of initial seeds, SimsV adapts an evolutionary fuzzing algorithm for generating
… Testing of autonomous vehicles using surrogate models and stochastic optimization. In …

An LLM-enhanced Multi-objective Evolutionary Search for Autonomous Driving Test Scenario Generation

H Tian, X Han, G Wu, Y Zhou, S Li, J Wei, D Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
… and implementation of autonomous vehicles (AVs) [15]. It is … vehicle camera videos using
the LLM, and a federate fuzz … generation with adaptive evolutionary search considering failure-…

Misconfiguration Software Testing for Failure Emergence in Autonomous Driving Systems

Y Chen, Y Huai, S Li, C Hong, J Garcia - Proceedings of the ACM on …, 2024 - dl.acm.org
… on routing requests and tells the autonomous vehicle which routes to take to … vehicles.
AutoFuzz [86] uses the same simulator as AV-Fuzzer but applies a neural networkguided fuzzing