KFU. Card publication. Development of a heterogeneous aerial swarm control framework for forest management

KAZAN
FEDERAL UNIVERSITY

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DEVELOPMENT OF A HETEROGENEOUS AERIAL SWARM CONTROL FRAMEWORK FOR FOREST MANAGEMENT

Form of presentation

Articles in international journals and collections

Year of publication

2018

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Authors, employees of KFU

Gerasimov Yuriy Aleksandrovich, author

Magid Evgeniy Arkadevich, author

Sagitov Artur Gazizovich, author

Authors, postgraduates KFU

Sagitov Artur Gazizovich, postgraduate kfu

Bibliographic description in the original language

Gerasimov Yuriy, Sagitov Artur, Magid Evgeni, Development of a heterogeneous aerial swarm control framework for forest management//ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS. - 2018. - Vol., Is.. - P.216-219.

Annotation

As the prevalence of UAVs is increasing, they are becoming more accessible for wider applications. Our interest is in application of UAVs for forest management challenges including monitoring health and safety and commercial exploitation in a sustainable manner. We propose a swarm control framework for managing a group of UAVs for aforementioned tasks, including survey of tree health with infrared cameras and chemical sensors, detecting potential risky situations of illegal logging, smoke and fires, and estimating potential volume measurements. The proposed framework manages planning flight trajectories, sensor fusion and collaborative mapping. On the next stage, we plan to simulate the framework in ROS/Gazebo environment, and further to implement a pilot project with a group of DJI Phantom quadrotors and a large-size fixed-wing UAV.

Keywords

robotics; algorithms; swarm control; robotic framework; unmanned aerial vehicle (UAV)

The name of the journal

ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=192857&p_lang=2

Resource files

File name	Size (MB)	Format
2018_Development_of_a_heterogeneous_aerial_swarm_control_framework_for_forest_management.pdf	0,28	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gerasimov Yuriy Aleksandrovich	ru_RU
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Sagitov Artur Gazizovich	ru_RU
dc.contributor.author	Sagitov Artur Gazizovich	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	Gerasimov Yuriy, Sagitov Artur, Magid Evgeni, Development of a heterogeneous aerial swarm control framework for forest management//ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS. - 2018. - Vol., Is.. - P.216-219.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=192857&p_lang=2	ru_RU
dc.description.abstract	ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS	ru_RU
dc.description.abstract	As the prevalence of UAVs is increasing, they are becoming more accessible for wider applications. Our interest is in application of UAVs for forest management challenges including monitoring health and safety and commercial exploitation in a sustainable manner. We propose a swarm control framework for managing a group of UAVs for aforementioned tasks, including survey of tree health with infrared cameras and chemical sensors, detecting potential risky situations of illegal logging, smoke and fires, and estimating potential volume measurements. The proposed framework manages planning flight trajectories, sensor fusion and collaborative mapping. On the next stage, we plan to simulate the framework in ROS/Gazebo environment, and further to implement a pilot project with a group of DJI Phantom quadrotors and a large-size fixed-wing UAV.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Development of a heterogeneous aerial swarm control framework for forest management	ru_RU
dc.type	Articles in international journals and collections	ru_RU