Multilevel data-fusion for detection of moving objects

D. Giusto, C. Regazzoni, G. Vernazza
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引用次数: 3

Abstract

A knowledge-based vision system called DOORS (Distributed Object-Oriented Recognition System), for obstacle detection and tracking, is presented. It integrates multisensory information sources by adaptively selecting appropriate fusion strategies at the abstraction levels of both physical and virtual sensors. The basic methodology adopted for data representation and processing control has several points in common with object-oriented programming techniques and with blackboard approaches. Some preliminary results are presented for the case of an obstacle moving on a country-road scene.<>
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运动目标检测的多级数据融合
提出了一种用于障碍物检测和跟踪的基于知识的视觉系统DOORS (Distributed Object-Oriented Recognition system,分布式面向对象识别系统)。它通过在物理和虚拟传感器的抽象层次上自适应地选择合适的融合策略来集成多感官信息源。数据表示和处理控制所采用的基本方法与面向对象编程技术和黑板方法有几个共同点。一些初步的结果提出了一个障碍移动的情况下,在乡村道路的场景
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