基于彩色视频和雷达数据融合的交通场景目标检测

Proceeding of 1st Australian Data Fusion Symposium Pub Date : 1996-11-21 DOI:10.1109/ADFS.1996.581080

B. Heisele, H. Neef, W. Ritter, R. Schneider, G. Wanielik

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引用次数: 5

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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Proceeding of 1st Australian Data Fusion Symposium

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