Introduction
Aurora Innovation's autonomous trucking system has experienced a 15% increase in disengagements during highway driving over the past month. This concerning trend requires a thorough investigation to identify the root cause and implement effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this performance decline.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Software updates can introduce unexpected behaviors or bugs. Expected answer: Yes, a major update was rolled out 6 weeks ago. Impact on approach: If confirmed, we'd focus on regression testing and code review.
Why it matters: External factors could be challenging the system's capabilities. Expected answer: Some regions have experienced increased rainfall. Impact on approach: We'd analyze performance data in relation to weather conditions.
Why it matters: Poor quality or insufficient data could lead to degraded performance. Expected answer: No significant changes to the data pipeline have been reported. Impact on approach: We'd look more closely at other potential internal factors.
Why it matters: Hardware issues could directly impact the system's ability to perceive and navigate. Expected answer: Routine maintenance checks haven't flagged any widespread issues. Impact on approach: We'd still consider investigating hardware performance more deeply.
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