Sensor Fusion for Vehicle Tracking with Camera and Radar Sensor

被引：0

作者：

Kim, Kyeong-Eun ^{[1
]}

Lee, Chang-Joo ^{[1
]}

Pae, Dong-Sung ^{[1
]}

Lim, Myo-Taeg ^{[1
]}

机构：

[1] Korea Univ, Dept Elect Engn, Seoul, South Korea

来源：

2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2017年

关键词：

Sensor Fusion; Track to track fusion; Data association; Adaptive gating; Vehicle tracking;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, as demands for the vehicle safety and autonomous driving of the automobile industry have increased, it becomes important to more accurately recognize the position and velocity of surrounding vehicles. In this paper, heuristic fusion with adaptive gating and track to track fusion are applied to track fusion of camera and radar sensor for forward vehicle tracking system and the two algorithms are compared. To compare the two algorithms, simulation was carried out in 10 scenarios and the accuracy of sensor fusion results was measured with optimal subpattern assignment (OSPA) metric. The results of this metric are compared to show that the track to track fusion is superior to the adaptive gating for the target estimation.

引用

页码：1075 / 1077

页数：3

共 5 条

[1]

[Anonymous], 2011, Tracking and Data Fusion

[2] Multisensor data fusion: A review of the state-of-the-art [J].