Hybrid Fusion Scheme for Pedestrian Detection based on Laser Scanner and Far Infrared Camera

被引：6

作者：

Garcia, F. ^{[1
]}

Olmeda, D. ^{[1
]}

Armingol, J. M. ^{[1
]}

de la Escalera, A. ^{[1
]}

机构：

[1] Univ Carlos III Madrid, Intelligent Syst Lab, Madrid 28911, Spain

来源：

2010 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2010年

关键词：

D O I：

10.1109/IVS.2010.5548042

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The lack of trustworthy sensors makes ADAS applications a tough task. In this paper a fusion approach that uses two sensors: far infrared camera vision and a laser scanner to detect pedestrian for ADAS applications is presented. Both sensors have different field of view thus different detection zones are created according to the number of sensors available. The proposed algorithm combines low and high level information, providing a hybrid fusion scheme. Experimental results show that pedestrian detections are improved thanks to the use of several sensors.

引用

页码：1134 / 1139

页数：6

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