聚焦自动驾驶中未知危险场景，推动安全算法突破
2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
- 汇聚学术与产业力量，攻关未知危险识别难题
- 涵盖异常检测、开放词汇建模等前沿方向
- 适合关注自动驾驶安全与泛化能力的研究者
随着计算机视觉技术推进自动驾驶算法发展，融合视觉洞察与传感器数据对提升感知、决策、规划、预测、仿真和控制仍至关重要。然而，为何尚未实现完全安全的自动驾驶？关键原因在于难以应对新型场景，这已成为真实部署的核心障碍。2COOOL workshop旨在为研究者与产业专家提供专门论坛，推动新颖性处理技术的发展，包括分布外危险检测、视觉-语言模型用于危险理解、新基准与方法论，以及安全自动驾驶实践。第二届自动驾驶分布外标签危害挑战研讨会（2COOOL）将于2025年10月19日在夏威夷火奴鲁鲁举行的国际计算机视觉会议（ICCV 2025）上举办。我们致力于激发新型避障算法与系统的发展，借鉴异常检测、开集识别、开词汇建模、域适应等相关领域思想。继2025年冬季计算机视觉应用会议（WACV 2025）首办成功后，本次研讨会将延续学术与产业深度融合的特色。
原文摘要 · Abstract (English)
As the computer vision community advances autonomous driving algorithms, integrating vision-based insights with sensor data remains essential for improving perception, decision making, planning, prediction, simulation, and control. Yet we must ask: Why don't we have entirely safe self-driving cars yet? A key part of the answer lies in addressing novel scenarios, one of the most critical barriers to real-world deployment. Our 2COOOL workshop provides a dedicated forum for researchers and industry experts to push the state of the art in novelty handling, including out-of-distribution hazard detection, vision-language models for hazard understanding, new benchmarking and methodologies, and safe autonomous driving practices. The 2nd Workshop on the Challenge of Out-of-Label Hazards in Autonomous Driving (2COOOL) will be held at the International Conference on Computer Vision (ICCV) 2025 in Honolulu, Hawaii, on October 19, 2025. We aim to inspire the development of new algorithms and systems for hazard avoidance, drawing on ideas from anomaly detection, open-set recognition, open-vocabulary modeling, domain adaptation, and related fields. Building on the success of its inaugural edition at the Winter Conference on Applications of Computer Vision (WACV) 2025, the workshop will feature a mix of academic and industry participation.
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