计算机应用与软件2012，Vol.29Issue(2)：272-274,297,4.
多源信息融合在驾驶疲劳检测中的应用
MULTI-SOURCE INFORMATION FUSION APPLICATION TO DRIVING FATIGUE DETECTION
沈永增 1胡立芳 1冯继妙1
作者信息
- 1. 浙江工业大学信息工程学院 浙江杭州310023
- 折叠
摘要
Abstract
Driving fatigue has become one of the major causes of traffic accidents. At present most driving fatigue detection methods are realized simply based on the image processing technology to realize driving fatigue recognition and detection. However, due to its vulnerability to driving environments, the accuracy and reliability of the detection of the method is limited. In view of this limitation, the paper introduces a multi-source information fusion technology, chooses circumstances of unconformity between image-based PERCLOS values as well as non-image-based direction changes and driver reflections, steer wheel action status and continuous driving time as fusion parameters, and utilizes TSFNN for comprehensive judgement in order to improve the accuracy and reliability of driving fatigue detection. Experiments have been carried out to prove that the proposed method is considerably effective.关键词
驾驶疲劳识别/信息融合/TS模糊神经网络Key words
Driving fatigue recognition/Information fusion/TS fussy neural network分类
信息技术与安全科学引用本文复制引用
沈永增,胡立芳,冯继妙..多源信息融合在驾驶疲劳检测中的应用[J].计算机应用与软件,2012,29(2):272-274,297,4.
