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SLLCP:用保形预测校准VLM的自动驾驶安全监测
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研究者提出 Split Label-Localized Conformal Prediction(SLLCP),在冻结的 VLM 之上加后处理校准层,把不可靠预测转成概率校准的安全预测集,并按场景局部加权历史经验计算不确定性阈值,用于自动驾驶局部共形安全监测。该方法不改动 VLM 本体,仅通过后处理实现校准。目前报道仅披露方法框架,未见实验数据或实际部署信息。
Generated from reports · updated 16 hr ago
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Oct 5, 2026
- arXiv · RoboticsSLLCP:用 VLM 做自动驾驶局部共形安全监测
研究者提出 Split Label-Localized Conformal Prediction(SLLCP),在冻结的 VLM 之上加后处理校准层,把不可靠预测转成概率校准的安全预测集,并按场景局部加权历史经验计算不确定性阈值。
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