Object detection in traffic scenes by a colour video and radar data fusion approach

B. Heisele, H. Neef, W. Ritter, R. Schneider, G. Wanielik
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引用次数: 5

Abstract

Object detection is one of the key functions in autonomous driving. For this purpose different sensor types-such as laser or millimeter-wave (MMW) radar-are in use but most systems are solely based on vision (Thomanek et al., 1994). In contrast, this paper presents a data fusion approach for joint radar video object detection.
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基于彩色视频和雷达数据融合的交通场景目标检测
目标检测是自动驾驶的关键功能之一。为此目的,使用了不同类型的传感器,如激光或毫米波(MMW)雷达,但大多数系统仅基于视觉(Thomanek et al., 1994)。本文提出了一种用于联合雷达视频目标检测的数据融合方法。
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Optimization of the observer motion for bearings-only target motion analysis Data fusion by optimal sensor switching Measures of effectiveness for multiple ROTHR track data fusion (MRTDF) Multiple source clustering: a probabilistic reasoning approach Object detection in traffic scenes by a colour video and radar data fusion approach
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