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首页> 外文期刊>Intelligent Transportation Systems, IEEE Transactions on >Driver Monitoring Based on Low-Cost 3-D Sensors
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Driver Monitoring Based on Low-Cost 3-D Sensors

机译：基于低成本3D传感器的驾驶员监控

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摘要

A solution for driver monitoring and event detection based on 3-D information from a range camera is presented. The system combines 2-D and 3-D techniques to provide head pose estimation and regions-of-interest identification. Based on the captured cloud of 3-D points from the sensor and analyzing the 2-D projection, the points corresponding to the head are determined and extracted for further analysis. Later, head pose estimation with three degrees of freedom (Euler angles) is estimated based on the iterative closest points algorithm. Finally, relevant regions of the face are identified and used for further analysis, e.g., event detection and behavior analysis. The resulting application is a 3-D driver monitoring system based on low-cost sensors. It represents an interesting tool for human factor research studies, allowing automatic study of specific factors and the detection of special event related to the driver, e.g., driver drowsiness, inattention, or head pose.
机译：提出了一种基于距离摄像机的3-D信息的驾驶员监视和事件检测解决方案。该系统结合了2-D和3-D技术，以提供头部姿势估计和感兴趣区域识别。基于从传感器捕获的3D点云并分析2D投影，确定并提取与头部对应的点以进行进一步分析。之后，基于迭代最近点算法估计具有三个自由度（欧拉角）的头部姿态估计。最后，识别出面部的相关区域，并将其用于进一步分析，例如事件检测和行为分析。最终的应用是基于低成本传感器的3-D驾驶员监控系统。它是用于人为因素研究的有趣工具，可以自动研究特定因素并检测与驾驶员相关的特殊事件，例如驾驶员的睡意，注意力不集中或头部姿势。

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