3D Mapping Using Multi-agent Systems

Bhaavin K. Jogeshwar; Baisravan HomChaudhuri; Sivayazi Kappagantula

doi:10.1007/978-981-99-4634-1_4

3D Mapping Using Multi-agent Systems

Bhaavin K. Jogeshwar
, Baisravan HomChaudhuri
, Sivayazi Kappagantula^*

^*Corresponding author for this work

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

Abstract

Disaster response refers to the operations that must be carried out during and/or after a disaster, to safeguard people along with property. These dangers could be outdoors or indoors. 3D mapping provides extensive information, such as the site of a disaster, and aids in quick mitigation response. Mapping a region depends on parameters like an environment’s area and the available resources. This paper demonstrates the relationship between the number of rooms and the number of unmanned aerial vehicles (UAVs) used to map an indoor area along with the overall time required to explore and compute it. The computational resources used include the OctoMap Library and the Frontier exploration algorithm. It was observed that increasing the number of UAVs subsequently to map an environment reduced the simulation time, only when the number of UAVs mapping the environment was less than or equal to the number of rooms in the environment.

Original language	English
Title of host publication	Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022
Editors	Sanjay Sharma, Bidyadhar Subudhi, Umesh Kumar Sahu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	39-51
Number of pages	13
ISBN (Print)	9789819946334
DOIs	https://doi.org/10.1007/978-981-99-4634-1_4
Publication status	Published - 2023
Event	International Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022 - Virtual, Online Duration: 24-11-2022 → 26-11-2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1066 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022
City	Virtual, Online
Period	24-11-22 → 26-11-22

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-99-4634-1_4

Cite this

Jogeshwar, B. K., HomChaudhuri, B., & Kappagantula, S. (2023). 3D Mapping Using Multi-agent Systems. In S. Sharma, B. Subudhi, & U. K. Sahu (Eds.), Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022 (pp. 39-51). (Lecture Notes in Electrical Engineering; Vol. 1066 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-4634-1_4

Jogeshwar, Bhaavin K. ; HomChaudhuri, Baisravan ; Kappagantula, Sivayazi. / 3D Mapping Using Multi-agent Systems. Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022. editor / Sanjay Sharma ; Bidyadhar Subudhi ; Umesh Kumar Sahu. Springer Science and Business Media Deutschland GmbH, 2023. pp. 39-51 (Lecture Notes in Electrical Engineering).

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abstract = "Disaster response refers to the operations that must be carried out during and/or after a disaster, to safeguard people along with property. These dangers could be outdoors or indoors. 3D mapping provides extensive information, such as the site of a disaster, and aids in quick mitigation response. Mapping a region depends on parameters like an environment{\textquoteright}s area and the available resources. This paper demonstrates the relationship between the number of rooms and the number of unmanned aerial vehicles (UAVs) used to map an indoor area along with the overall time required to explore and compute it. The computational resources used include the OctoMap Library and the Frontier exploration algorithm. It was observed that increasing the number of UAVs subsequently to map an environment reduced the simulation time, only when the number of UAVs mapping the environment was less than or equal to the number of rooms in the environment.",

author = "Jogeshwar, \{Bhaavin K.\} and Baisravan HomChaudhuri and Sivayazi Kappagantula",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022 ; Conference date: 24-11-2022 Through 26-11-2022",

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doi = "10.1007/978-981-99-4634-1\_4",

language = "English",

isbn = "9789819946334",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

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}

Jogeshwar, BK, HomChaudhuri, B & Kappagantula, S 2023, 3D Mapping Using Multi-agent Systems. in S Sharma, B Subudhi & UK Sahu (eds), Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022. Lecture Notes in Electrical Engineering, vol. 1066 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 39-51, International Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022, Virtual, Online, 24-11-22. https://doi.org/10.1007/978-981-99-4634-1_4

3D Mapping Using Multi-agent Systems. / Jogeshwar, Bhaavin K.; HomChaudhuri, Baisravan; Kappagantula, Sivayazi.
Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022. ed. / Sanjay Sharma; Bidyadhar Subudhi; Umesh Kumar Sahu. Springer Science and Business Media Deutschland GmbH, 2023. p. 39-51 (Lecture Notes in Electrical Engineering; Vol. 1066 LNEE).

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

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AU - Jogeshwar, Bhaavin K.

AU - HomChaudhuri, Baisravan

AU - Kappagantula, Sivayazi

PY - 2023

Y1 - 2023

N2 - Disaster response refers to the operations that must be carried out during and/or after a disaster, to safeguard people along with property. These dangers could be outdoors or indoors. 3D mapping provides extensive information, such as the site of a disaster, and aids in quick mitigation response. Mapping a region depends on parameters like an environment’s area and the available resources. This paper demonstrates the relationship between the number of rooms and the number of unmanned aerial vehicles (UAVs) used to map an indoor area along with the overall time required to explore and compute it. The computational resources used include the OctoMap Library and the Frontier exploration algorithm. It was observed that increasing the number of UAVs subsequently to map an environment reduced the simulation time, only when the number of UAVs mapping the environment was less than or equal to the number of rooms in the environment.

AB - Disaster response refers to the operations that must be carried out during and/or after a disaster, to safeguard people along with property. These dangers could be outdoors or indoors. 3D mapping provides extensive information, such as the site of a disaster, and aids in quick mitigation response. Mapping a region depends on parameters like an environment’s area and the available resources. This paper demonstrates the relationship between the number of rooms and the number of unmanned aerial vehicles (UAVs) used to map an indoor area along with the overall time required to explore and compute it. The computational resources used include the OctoMap Library and the Frontier exploration algorithm. It was observed that increasing the number of UAVs subsequently to map an environment reduced the simulation time, only when the number of UAVs mapping the environment was less than or equal to the number of rooms in the environment.

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M3 - Conference contribution

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BT - Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022

A2 - Sharma, Sanjay

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ER -

Jogeshwar BK, HomChaudhuri B, Kappagantula S. 3D Mapping Using Multi-agent Systems. In Sharma S, Subudhi B, Sahu UK, editors, Intelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 39-51. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-99-4634-1_4

3D Mapping Using Multi-agent Systems

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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