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A Systematic Framework to Identify Violations of Scenario-dependent Driving Rules in Autonomous Vehicle Software

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Year: 2021
Type: article
Source: Proceedings of the ACM on Measurement and Analysis of Computing Systems
DOI: 10.1145/3460082
Authors: Qingzhao Zhang, David Ke Hong, Ze Zhang, Qi Alfred Chen, Scott Mahlke, Z. Morley Mao
Institutions: University of Michigan, University of California, Irvine
Language: English

Topic: Software Testing and Debugging Techniques
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, Office of Naval Research
Awards: G1751822525, SaTC: TTP: Medium: Collaborative: Exposing and Mitigating Security/Safety Concerns of CAVs: A Holistic and Realistic Security Testing Platform for Emerging CAVs
OpenAlex ID: W4247645579
FWCI: 3.811
Cites: 35
Cited by: 17
Related to: 10
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