IMMPDA Vehicle Tracking System using Asynchronous Sensor Fusion of Radar and Vision

被引：0

作者：

Liu, Feng ^{[1
]}

Sparbert, Jan ^{[1
]}

Stiller, Christoph ^{[2
]}

机构：

[1] Robert Bosch GmbH, Driver Assistance Dept, D-71229 Leonberg, Germany

[2] Univ Karlsruhe, Inst Measurement & Control Theory, D-76131 Karlsruhe, Germany

来源：

2008 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3 | 2008年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper focuses on recognition and tracking of maneuvering vehicles in dense traffic situations. We present an asynchronous multi obstacle multi sensor tracking method that fuses information from radar and monocular vision. A low level fusion method is integrated into the framework of an IMMPDA Kalman filter. Real world experiments demonstrate that the system combines the complementary strengths of the employed sensors.

引用

页码：217 / +

页数：2

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