IMM Filtering for Vehicle Tracking in Cluttered Environments with Glint Noise

被引：0
|
作者：
Cho, Chang Ho [1 ]
Chong, Sa Yong [2 ]
Song, Taek Lyul [2 ]
机构：
[1] HYUNDAI MOBIS, Driving Sci, Yongin, South Korea
[2] Hanyang Univ, Dept Elect Syst Engn, Ansan, South Korea
来源：
2017 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS) | 2017年
关键词：
Vehicle Tracking; Adaptive Cruise Control; Glint Noise; Clutter; IMM-IPDA; PROBABILISTIC DATA ASSOCIATION; TARGET TRACKING; INITIALIZATION; IPDA;
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：
A radar system for tracking ground vehicle targets to realize adaptive cruise control requires an accurate vehicle tracking filter. Especially, for ground vehicle tracking, one has to consider the case in which the radar measurements are affected by glint noises generated by the targets located near the observer vehicle. Furthermore, this vehicle tracking should be performed in cluttered environments. This paper presents a combined algorithm that consists of integrated probabilistic data association (IPDA), and an interacting multiple model (IMM) algorithm for ground target tracking in clutter and target glint. Performance of the proposed algorithm is tested and verified by a series of computer simulation runs.
引用
收藏
页码：98 / 105
页数：8
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