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基于多传感器信息融合的危险驾驶行为检测系统 被引量:5

A Detection System for Dangerous Driving Actions Based on Multi-sensor Information Fusion
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摘要 提出了一种基于多传感器信息融合的危险驾驶行为检测系统的设计方案和技术实现,其中包含了视觉、加速度和酒精气体等3种传感器输入和ARM Cortex-M3内核单片机构建的嵌入式系统,目的是解决单一检测手段不可靠的问题。实验证明该系统线性度、灵敏度好,实时性能优秀,可用作驾驶行为融合算法的验证研究,为解决单一方法检测结果不可靠的问题提供了支持。 A design and implementation of a detection system tbr dangerous driving was proposed based on multi-sensor-tiision. It is actually an embedded system consisting of visual sensor, acceleration sensor, alcohol sensor input, and ARM Cortex-M3 microcontroller. Experiment results show that the system has high linearity, high sensitivity, and excellent real-time performance. It can be further used to validate the multi-sensor information fusion algorithms in the field for improving the low reliability of the current detections by using one single-sensor method.
出处 《汽车零部件》 2011年第7期54-57,共4页 Automobile Parts
基金 广东省自然科学基金项目(06025284) 广东省自然科学基金项目(8151063301000004)
关键词 传感器 信息融合 危险驾驶 嵌入式系统 Sensor Information fusion Dangerous driving Embeded system
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参考文献5

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二级参考文献12

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