An MPF Based Aerial Platform Tracking Method for Road Network Targets

This paper presents a new algorithm to improve the tracking accuracy of the aerial mobile observation platform by using road information constraints. Combined with the road information and Mixed Particle Filter(MPF) algorithm, the Road Constrained Mixed Particle Filter(RCMPF) algorithm is proposed....

Full description

Saved in:
Bibliographic Details
Published inJournal of physics. Conference series Vol. 2216; no. 1; pp. 12088 - 12097
Main Authors Yuan, Jing, Chen, Xin, Zhang, Min, Zhang, Pengfei
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.03.2022
Subjects
Algorithms
Constraints
Physics
Roads & highways
Tracking
Online AccessGet full text
ISSN1742-6588
1742-6596
1742-6596
DOI10.1088/1742-6596/2216/1/012088

Cover

More Information
Summary:This paper presents a new algorithm to improve the tracking accuracy of the aerial mobile observation platform by using road information constraints. Combined with the road information and Mixed Particle Filter(MPF) algorithm, the Road Constrained Mixed Particle Filter(RCMPF) algorithm is proposed. RCMPF algorithm can effectively solve the problem of non-linear observation equation of aerial observation platform and realize the tracking of ground targets. The simulation results show that the algorithm improves the tracking accuracy of the target.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1742-6588
1742-6596
1742-6596
DOI:10.1088/1742-6596/2216/1/012088