LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles
| العنوان: | LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles |
|---|---|
| المؤلفون: | Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering |
| الوصف: | Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse scenarios, including those that are difficult to recreate in real-world testing grounds. While previous approaches have shown that test cases can be generated automatically, they tend to focus on weak oracles (e.g. reaching the destination without collisions) without assessing whether the journey itself was undertaken safely and satisfied the law. In this work, we propose LawBreaker, an automated framework for testing ADSs against real-world traffic laws, which is designed to be compatible with different scenario description languages. LawBreaker provides a rich driver-oriented specification language for describing traffic laws, and a fuzzing engine that searches for different ways of violating them by maximising specification coverage. To evaluate our approach, we implemented it for Apollo+LGSVL and specified the traffic laws of China. LawBreaker was able to find 14 violations of these laws, including 173 test cases that caused accidents. Accepted by the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022) |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4af6472c45f4c6febb997eda203a6960 http://arxiv.org/abs/2208.14656 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....4af6472c45f4c6febb997eda203a6960 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |