@inproceedings{83a8830cc52744d68e2cf1afb1f76d3b,
title = "External Information Aided Urban Target Tracking with UAVs",
abstract = "This paper addresses the challenging problem of airborne target tracking in complex urban contexts by incorporating external information. Both extrinsic and intrinsic elements are mathematically formulated to constrain the motion of the target. A Bayesian method, aided by a data-driven pattern matching mechanism, is proposed for recognizing the target's behavior and allocating appropriate constraints to the ground target. A quadratic programming problem is formulated to integrate the constraint relations into the target tracking process. The target's distribution is obtained using Generalized Covariance Intersection (GCI) to fuse the state distribution calculated from each local tracker. The proposed method's advantages are analyzed and validated through numerical simulations.",
keywords = "constrained filter, data fusion, pattern matching, Target tracking",
author = "Jianduo Chai and Yue Hou and Shaoming He",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023 ; Conference date: 16-10-2023 Through 18-10-2023",
year = "2024",
doi = "10.1007/978-981-97-4010-9\_5",
language = "English",
isbn = "9789819740093",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "48--64",
editor = "Song Fu",
booktitle = "2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume II",
address = "Germany",
}