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High-performance sensor fusion architecture

机译:高性能传感器融合架构

摘要

A vision-based system for automatically detecting the type of object within a specified area, such as the type of occupant within a vehicle is presented. The type of occupant can then be used to determine whether an airbag deployment system should be enabled or not. The system extracts different features, including wavelet features and/or a disparity map from images captured by image sensors. These features are then processed by classification algorithms to produce class confidences for various occupant types. The occupant class confidences are fused and processed to determine occupant type. In a preferred embodiment, image features from image edges, wavelet features, and disparity are used. Various classification algorithms may be implemented to classify the object. Use of the disparity map and/or wavelet features provides greater computational efficiency.
机译:提出了一种基于视觉的系统,用于自动检测指定区域内的物体类型,例如车辆内的乘员类型。然后可以使用乘员的类型来确定是否应该启用安全气囊展开系统。该系统从图像传感器捕获的图像中提取不同的特征,包括小波特征和/或视差图。然后由分类算法处理这些特征,以产生各种乘员类型的类别置信度。融合乘员类别置信度并进行处理以确定乘员类型。在优选实施例中,使用来自图像边缘的图像特征,小波特征和视差。可以实施各种分类算法以对对象进行分类。视差图和/或小波特征的使用提供了更高的计算效率。

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