DriveFuzz

Author:

Kim Seulbae1,Liu Major2,Rhee Junghwan "John"3,Jeon Yuseok4,Kwon Yonghwi5,Kim Chung Hwan2

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

2. University of Texas at Dallas, Richardson, TX, USA

3. University of Central Oklahoma, Edmond, OK, USA

4. UNIST, Ulsan, Republic of Korea

5. University of Virginia, Charlottesville, VA, USA

Funder

University of Texas at Dallas Office of Research

Texas A&M Engineering Experiment Station

Publisher

ACM

Reference84 articles.

1. 2008. National Motor Vehicle Crash Causation Survey: Report to Congress. Tech- nical Report. National Highway Traffic Safety Administration United States Department of Transportation. 2008. National Motor Vehicle Crash Causation Survey: Report to Congress. Tech- nical Report. National Highway Traffic Safety Administration United States Department of Transportation.

2. 2017. LibFuzzer -- a library for coverage-guided fuzz testing. https://llvm.org/ docs/LibFuzzer.html. 2017. LibFuzzer -- a library for coverage-guided fuzz testing. https://llvm.org/ docs/LibFuzzer.html.

3. 2018. syzkaller - kernel fuzzer. https://github.com/google/syzkaller. 2018. syzkaller - kernel fuzzer. https://github.com/google/syzkaller.

4. 2019. Baidu Apollo: An Open Autonomous Driving Platform. http://apollo.auto/. 2019. Baidu Apollo: An Open Autonomous Driving Platform. http://apollo.auto/.

5. 2020. The Autoware Foundation. https://www.autoware.org/. 2020. The Autoware Foundation. https://www.autoware.org/.

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1. Practitioners’ Expectations on Automated Test Generation;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

3. DiaVio: LLM-Empowered Diagnosis of Safety Violations in ADS Simulation Testing;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

4. TM-fuzzer: fuzzing autonomous driving systems through traffic management;Automated Software Engineering;2024-07-27

5. Misconfiguration Software Testing for Failure Emergence in Autonomous Driving Systems;Proceedings of the ACM on Software Engineering;2024-07-12

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