Open AccessAn MPF Based Aerial Platform Tracking Method for Road Network Targets
Author(s) -
Jing Yuan,
Xin Chen,
Min Zhang,
Pengfei Zhang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2216/1/012088
Subject(s) - particle filter , tracking (education) , computer science , real time computing , computer vision , filter (signal processing) , algorithm , artificial intelligence , psychology , pedagogy
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.