Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments-Reference-Cited by-同舟云学术

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Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments

Published:2020-05 Issue:5 Volume:21 Page:796-808
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Front Inform Technol Electron Eng

Author:

Shao Yan^ORCID,Zhao Zhi-feng^ORCID,Li Rong-peng,Zhou Yu-geng

Funder

National Natural Science Foundation of China

the National Key R&D Program of China

the Zhejiang Key Research and Development Plan

the Project sponsored by Zhejiang Lab

the Zhejiang Provincial Natural Science Foundation of China

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

https://link.springer.com/content/pdf/10.1631/FITEE.1900659.pdf

Reference24 articles.

1. Alfeo AL, Cimino MGCA, de Francesco N, et al., 2018a. Design and simulation of the emergent behavior of small drones swarming for distributed target localization. J Comput Sci, 29:19–33. https://doi.org/10.1016/j.jocs.2018.09.014

2. Alfeo AL, Cimino MGCA, Egidi S, et al., 2018b. A stigmergy-based analysis of city hotspots to discover trends and anomalies in urban transportation usage. IEEE Trans Intell Transp Syst, 19(7):2258–2267. https://doi.org/10.1109/TITS.2018.2817558

3. Alfeo AL, Cimino MGCA, de Francesco N, et al., 2018c. Swarm coordination of mini-UAVs for target search using imperfect sensors. Intell Dec Technol, 12(2):149–162. https://doi.org/10.3233/IDT-170317

4. Ando Y, Fukazawa Y, Masutani O, et al., 2006. Performance of pheromone model for predicting traffic congestion. Proc 5th Int Joint Conf on Autonomous Agents and Multiagent Systems, p.73–80. https://doi.org/10.1145/1160633.1160642

5. Cimino MGCA, Lega M, Monaco M, et al., 2019. Adaptive exploration of a UAVs swarm for distributed targets detection and tracking. Proc 8th Int Conf on Pattern Recognition Applications and Methods, p.1–8.

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