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

• Main Authors: SUN, Yang, POSKITT, Christopher M., SUN, Jun, CHEN, Yuqi, YANG, Zijiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Autonomous vehicles; Traffic laws; Fuzzing; STL; LGSVL; Apollo; Software Engineering; Transportation; Transportation Law
• Online Access: https://ink.library.smu.edu.sg/sis_research/7745; https://ink.library.smu.edu.sg/context/sis_research/article/8748/viewcontent/3551349.3556897_pvoa.pdf
• Institution: Singapore Management University

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 sho...