リスク順位付き再現率：自動運転車の物体検出システムにおける衝突安全指標
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles
衝突リスクに基づいて物体を3段階にランク分けし、各ランクごとに再現率を測る新しい物体検出評価指標R³を提案した論文。
著者: Ayoosh Bansal, Jayati Singh, Micaela Verucchi, Marco Caccamo, Lui Sha
分類: cs.RO, cs.AI, cs.LG
原文アブストラクト
Commonly used metrics for evaluation of object detection systems (precision, recall, mAP) do not give complete information about their suitability of use in safety critical tasks, like obstacle detection for collision avoidance in Autonomous Vehicles (AV). This work introduces the Risk Ranked Recall ($R^3$) metrics for object detection systems. The $R^3$ metrics categorize objects within three ranks. Ranks are assigned based on an objective cyber-physical model for the risk of collision. Recall is measured for each rank.
