This IEEE Control Systems issue on safe control presents two features and one “Focus on Education” column. The first feature, “A Smart Bicycle That Protects Itself,” describes how coauthors from the University of Minnesota developed vehicle-tracking algorithms based on the use of inexpensive distance sensors installed on a prototype bicycle. The inexpensive laser and lidar sensors on the bicycle cannot by themselves provide adequate resolution in tracking vehicle trajectories. Accurate continuous tracking of the vehicles is enabled using active sensing and innovative estimation algorithms. Human-centered studies are used to develop an audio alert system that combines both the semantics of a bicycle bell and the sense of an emergency warning. With the developed technology, the bicycle can track the trajectory of nearby vehicles, predict the danger of a potential car–bicycle collision, and sound an auditory alarm to alert the motorist to the presence of the bicycle. Results from a field operational test involving three prototype bicycles and urban commuters on real-world roads are presented. Such inexpensive vehicle tracking systems can enable bicycle safety without requiring new autonomous technologies to achieve a high penetration among cars on the road.

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安全控制[关于此问题]

这 IEEE控制系统关于安全控制的问题提供了两个功能和一个“关注教育”专栏。明尼苏达大学的第一作者“保护自己的智能自行车”描述了如何使用安装在原型自行车上的廉价距离传感器来开发车辆跟踪算法。自行车上廉价的激光和激光雷达传感器本身无法提供足够的分辨率来跟踪车辆的轨迹。使用主动感应和创新的估算算法，可以对车辆进行准确的连续跟踪。以人为中心的研究用于开发一种音频警报系统，该系统结合了自行车铃铛的语义和紧急警告的感觉。借助先进的技术，自行车可以跟踪附近车辆的轨迹，预测可能发生的汽车与自行车碰撞的危险，并发出听觉警报，以警告驾驶者有自行车在场。给出了在实际道路上对三辆原型自行车和城市通勤者进行的现场操作测试的结果。这种廉价的车辆跟踪系统可以实现自行车安全，而无需新的自主技术来实现公路车辆之间的高普及率。