A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution

Chenzhihang Li; Hongbin Deng; Junqi Wu; Zhenhua Pan

doi:10.1109/INDIN58382.2024.10774492

A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution

Chenzhihang Li, Hongbin Deng, Junqi Wu, Zhenhua Pan

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper investigates online trajectory planning technology for unmanned aerial vehicles (UAVs) in complex environments, focusing on dynamic target tracking tasks commonly encountered in peacekeeping and counter-terrorism fields. The proposed method addresses the challenges posed by obstacles and high dynamics of targets in mountainous or urban settings, which may lead to sensor failures and target loss. Utilizing differential evolution, the method optimizes for UAV stability, safety, and line-of-sight, crafting a finite-jump trajectory. Simulations in 3D mountainous scenarios confirm the UAV’s ability to track, evade obstacles, and maintain sight, meeting jerk constraints for stable and safe flight.

Original language	English
Title of host publication	Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331527471
DOIs	https://doi.org/10.1109/INDIN58382.2024.10774492
Publication status	Published - 2024
Event	22nd IEEE International Conference on Industrial Informatics, INDIN 2024 - Beijing, China Duration: 18 Aug 2024 → 20 Aug 2024

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
ISSN (Print)	1935-4576

Conference

Conference	22nd IEEE International Conference on Industrial Informatics, INDIN 2024
Country/Territory	China
City	Beijing
Period	18/08/24 → 20/08/24

Keywords

Differential Evolution
Dynamic Tracking
UAV Trajectory Planing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/INDIN58382.2024.10774492

Cite this

Li, C., Deng, H., Wu, J., & Pan, Z. (2024). A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution. In Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024 (IEEE International Conference on Industrial Informatics (INDIN)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDIN58382.2024.10774492

@inproceedings{88fed26c930044528a1d0d7ef0cfdc3e,

title = "A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution",

abstract = "This paper investigates online trajectory planning technology for unmanned aerial vehicles (UAVs) in complex environments, focusing on dynamic target tracking tasks commonly encountered in peacekeeping and counter-terrorism fields. The proposed method addresses the challenges posed by obstacles and high dynamics of targets in mountainous or urban settings, which may lead to sensor failures and target loss. Utilizing differential evolution, the method optimizes for UAV stability, safety, and line-of-sight, crafting a finite-jump trajectory. Simulations in 3D mountainous scenarios confirm the UAV{\textquoteright}s ability to track, evade obstacles, and maintain sight, meeting jerk constraints for stable and safe flight.",

keywords = "Differential Evolution, Dynamic Tracking, UAV Trajectory Planing",

author = "Chenzhihang Li and Hongbin Deng and Junqi Wu and Zhenhua Pan",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 22nd IEEE International Conference on Industrial Informatics, INDIN 2024 ; Conference date: 18-08-2024 Through 20-08-2024",

year = "2024",

doi = "10.1109/INDIN58382.2024.10774492",

language = "English",

series = "IEEE International Conference on Industrial Informatics (INDIN)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024",

address = "United States",

}

Li, C, Deng, H, Wu, J & Pan, Z 2024, A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution. in Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024. IEEE International Conference on Industrial Informatics (INDIN), Institute of Electrical and Electronics Engineers Inc., 22nd IEEE International Conference on Industrial Informatics, INDIN 2024, Beijing, China, 18/08/24. https://doi.org/10.1109/INDIN58382.2024.10774492

A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution. / Li, Chenzhihang; Deng, Hongbin; Wu, Junqi et al.
Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (IEEE International Conference on Industrial Informatics (INDIN)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution

AU - Li, Chenzhihang

AU - Deng, Hongbin

AU - Wu, Junqi

AU - Pan, Zhenhua

PY - 2024

Y1 - 2024

N2 - This paper investigates online trajectory planning technology for unmanned aerial vehicles (UAVs) in complex environments, focusing on dynamic target tracking tasks commonly encountered in peacekeeping and counter-terrorism fields. The proposed method addresses the challenges posed by obstacles and high dynamics of targets in mountainous or urban settings, which may lead to sensor failures and target loss. Utilizing differential evolution, the method optimizes for UAV stability, safety, and line-of-sight, crafting a finite-jump trajectory. Simulations in 3D mountainous scenarios confirm the UAV’s ability to track, evade obstacles, and maintain sight, meeting jerk constraints for stable and safe flight.

AB - This paper investigates online trajectory planning technology for unmanned aerial vehicles (UAVs) in complex environments, focusing on dynamic target tracking tasks commonly encountered in peacekeeping and counter-terrorism fields. The proposed method addresses the challenges posed by obstacles and high dynamics of targets in mountainous or urban settings, which may lead to sensor failures and target loss. Utilizing differential evolution, the method optimizes for UAV stability, safety, and line-of-sight, crafting a finite-jump trajectory. Simulations in 3D mountainous scenarios confirm the UAV’s ability to track, evade obstacles, and maintain sight, meeting jerk constraints for stable and safe flight.

KW - Differential Evolution

KW - Dynamic Tracking

KW - UAV Trajectory Planing

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U2 - 10.1109/INDIN58382.2024.10774492

DO - 10.1109/INDIN58382.2024.10774492

M3 - Conference contribution

AN - SCOPUS:85215505883

T3 - IEEE International Conference on Industrial Informatics (INDIN)

BT - Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd IEEE International Conference on Industrial Informatics, INDIN 2024

Y2 - 18 August 2024 through 20 August 2024

ER -

Li C, Deng H, Wu J, Pan Z. A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution. In Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (IEEE International Conference on Industrial Informatics (INDIN)). doi: 10.1109/INDIN58382.2024.10774492

A Trajectory Planning Method for Dynamic Target Tracking Based on Differential Evolution

Abstract

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Keywords

UN SDGs

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