AI RESEARCH
Effort-Based Criticality Metrics for Evaluating 3D Perception Errors in Autonomous Driving
arXiv CS.CV
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ArXi:2603.28029v1 Announce Type: new Criticality metrics such as time-to-collision (TTC) quantify collision urgency but conflate the consequences of false-positive (FP) and false-negative (FN) perception errors. We propose two novel effort-based metrics: False Speed Reduction (FSR), the cumulative velocity loss from persistent phantom detections, and Maximum Deceleration Rate (MDR), the peak braking demand from missed objects under a constant-acceleration model.