TM-fuzzer: fuzzing autonomous driving systems through traffic management
Shenghao Lin,
Fansong Chen,
Laile Xi
et al.
Abstract:Simulation testing of Autonomous Driving Systems (ADS) is crucial for ensuring the safety of autonomous vehicles. Currently, scenarios searched by ADS simulation testing tools are less likely to expose ADS issues and highly similar. In this paper, we propose TM-fuzzer, a novel approach for searching ADS test scenarios, which utilizes real-time traffic management and diversity analysis to search security-critical and unique scenarios within the infinite scenario space. TM-fuzzer dynamically manages traffic flow… Show more
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