首页> 外国专利> Method and device for resource allocation using attention-driven algorithm to achieve safety of autonomous driving using AVM {METHOD AND DEVICE FOR ATTENTION-DRIVEN RESOURCE ALLOCATION BY USING AVM TO THEREBY ACHIEVA

Method and device for resource allocation using attention-driven algorithm to achieve safety of autonomous driving using AVM {METHOD AND DEVICE FOR ATTENTION-DRIVEN RESOURCE ALLOCATION BY USING AVM TO THEREBY ACHIEVA

机译:使用AVM使用AVM使用AVM {方法和设备来实现自主驾驶的安全性的方法和装置通过AVM实现自动驾驶的安全性

摘要

To provide a method for achieving better performance in an autonomous driving while saving computing powers, by using confidence scores representing a credibility of an object detection which is generated in parallel with an object detection process.SOLUTION: A method includes the steps of: a computing device acquiring at least one circumstance image on surroundings of a subject vehicle, through at least one panorama view sensor installed on the subject vehicle; the computing device instructing a Convolutional Neural Network (CNN) to apply at least one CNN operation to the circumstance image, to thereby generate initial object information and initial confidence information on the circumstance image; and the computing device generating final object information on the circumstance image by referring to the initial object information and the initial confidence information.SELECTED DRAWING: Figure 2
机译:为了提供一种用于在自主驾驶中实现更好的性能的方法,同时通过使用表示与对象检测处理并行生成的对象检测的可信度的置信度分数来提供置信区分。─概率:一种方法包括以下步骤:计算通过安装在主题车辆上的至少一个全景视图传感器获取对主题车辆的周围环境的至少一个环境图像;指示卷积神经网络(CNN)将至少一个CNN操作应用于环境图像的计算设备,从而在环境图像上产生初始对象信息和初始置信信息;并且通过参考初始对象信息和初始置信信息,计算设备在环境图像上生成最终对象信息。选择绘图:图2

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