Dimensions overall score 8.0

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• Existing vision-based risk object identification approaches make deterministic decisions and ignore uncertainty, which could lead to safety-critical failures.limitation 90%
• Fixed decision thresholds in ambiguous scenarios may cause premature or delayed risk detection and temporally unstable predictions.limitation 85%
• Current methods lack a principled framework to model risk uncertainty jointly across space and time.limitation 90%
• The proposed Conformal Risk Tube Prediction method captures spatiotemporal risk uncertainty, provides coverage guarantees for true risks, and produces calibrated risk scores with uncertainty estimates.method 90%
• The paper presents a new dataset and metrics probing diverse scenario configurations with multi-risk coupling effects, which are not supported by existing datasets.method 90%
• The method delivers substantial improvements over prior approaches, enhancing vision-ROI robustness and downstream performance.result 85%
• The method reduces nuisance braking alerts in intelligent driving systems.result 80%
• The paper systematically analyzes factors affecting uncertainty estimation, including scenario variations, per-risk category behavior, and perception error propagation.method 90%

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