智能汽车驾驶员行为分析:问题与发展框架

Sangho Park, M. Trivedi
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引用次数: 33

摘要

本文探讨了语义级驾驶员活动分析系统的可行性。为了构造驾驶员活动的层次结构,提出了几个新的考虑因素。驾驶员的活动在多个层面上进行表征和识别:个体身体部位的姿势/手势是低层的,单个身体部位的动作是中层的,驾驶员与车辆的互动是高层的。驾驶用驾驶员、车辆和周围环境之间的相互作用来表示,驾驶员的活动通过基于规则的决策树来识别。我们的系统使用单色相机数据,它可以很容易地扩展到包含多模态传感器数据。
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Driver activity analysis for intelligent vehicles: issues and development framework
This paper examines the feasibility of a semantic-level driver activity analysis system. Several new considerations are made to construct the hierarchy of driver activity. Driver activity is represented and recognized at multiple levels: individual body-part pose/gesture at the low level, single body-part action at the middle level, and the driver interaction with the vehicle at the high level. Driving is represented in terms of the interactions among driver, vehicle, and surround, and driver activity is recognized by a rule-based decision tree. Our system works with a single color camera data, and it can be easily expanded to incorporate multimodal sensor data.
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