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Toward Effective Autonomous Driving System Testing: Revealing, Reproducing, and Diversifying Bug-Finding Capabilities
Autonomous Driving Systems (ADSes) are complex, safety-critical software systems whose correctness is essential to ensuring safe operation in the real world. Despite significant advances in simulation-based testing, existing approaches often struggle to effectively reveal ADS faults due to challenge
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