用低成本红外摄像头提升应急车辆在低能见度下的安全
Low-Cost Infrared Vision Systems for Improved Safety of Emergency Vehicle Operations Under Low-Visibility Conditions
- 用热成像技术探测障碍物，突破传统视觉局限
- 实测显示红外系统显著提升夜间和浓雾中识别能力
- 适合需在恶劣天气持续作业的救援车队升级使用
本研究探讨红外（IR）摄像技术在低能见度环境下提升应急车辆驾驶员安全的潜力，尤其针对夜间及浓雾条件。此类环境极大增加碰撞风险，尤其是必须在恶劣条件下运行的拖车和除雪车。传统驾驶辅助系统常因能见度受限而失效。相比之下，红外摄像头通过捕捉障碍物的热信号，提供可行替代方案。评估结合实验室控制实验、实地测试及应急车辆操作员问卷调查。除检测性能外，还考察了为现有交通部门（DoT）车队加装低成本红外辅助系统的可行性。结果表明红外技术显著增强驾驶员感知能力，并为老旧应急车辆车队的规模化部署提供数据支持。
原文摘要 · Abstract (English)
This study investigates the potential of infrared (IR) camera technology to enhance driver safety for emergency vehicles operating in low-visibility conditions, particularly at night and in dense fog. Such environments significantly increase the risk of collisions, especially for tow trucks and snowplows that must remain operational in challenging conditions. Conventional driver assistance systems often struggle under these conditions due to limited visibility. In contrast, IR cameras, which detect the thermal signatures of obstacles, offer a promising alternative. The evaluation combines controlled laboratory experiments, real-world field tests, and surveys of emergency vehicle operators. In addition to assessing detection performance, the study examines the feasibility of retrofitting existing Department of Transportation (DoT) fleets with cost-effective IR-based driver assistance systems. Results underscore the utility of IR technology in enhancing driver awareness and provide data-driven recommendations for scalable deployment across legacy emergency vehicle fleets.
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