BOOK-CHAPTER

Maneuvering Target Tracking Based on Swarm Intelligent Unscented Particle Filtering

Yuelong WangFuchang Ma

Year: 2011 Lecture notes in computer science Pages: 59-65   Publisher: Springer Science+Business Media
Keywords:
Computer science Particle swarm optimization Tracking (education) Particle filter Kalman filter Artificial intelligence Computer vision Real-time computing Algorithm

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
7
Refs
0.06
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Maritime Navigation and Safety
Physical Sciences →  Engineering →  Ocean Engineering

Related Documents

JOURNAL ARTICLE

Maneuvering Target Tracking Algorithm Based on Particle PHD Filtering

Song GaoChaobo ChenQian Gong

Journal:   Advanced materials research Year: 2014 Vol: 989-994 Pages: 2212-2215
JOURNAL ARTICLE

An unscented particle filter for ground maneuvering target tracking

Ronghua GuoZheng Qin

Journal:   Journal of Zhejiang University. Science A Year: 2007 Vol: 8 (10)Pages: 1588-1595
JOURNAL ARTICLE

Constrained Unscented Kalman Filtering for Bearings‐Only Maneuvering Target Tracking

Hongwei ZhangWeixin Xie

Journal:   Chinese Journal of Electronics Year: 2020 Vol: 29 (3)Pages: 501-507
© 2026 ScienceGate Book Chapters — All rights reserved.