Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS

Snehil Sanyal; Shashank Bhushan; K. Sivayazi

doi:10.1109/ICPC2T48082.2020.9071439

Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS

Snehil Sanyal
, Shashank Bhushan
, K. Sivayazi

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

14 Citations (Scopus)

Abstract

It is important for an Unmanned Aerial Vehicle (UAV) to detect any object in its view. This enables the UAV to locate the object with respect to itself and is required for locking and tracking the object. Object detection and location estimation makes the UAV capable of manipulating the environment as well as to follow the target. In the present work, object detection has been carried out using You Only Look Once (YOLO) to detect the object in the image stream of the Robot Operating System (ROS) bag file. The GPS information of the UAV is used to further calculate the GPS coordinates of the object. The images are acquired using a single monocular camera.

Original language	English
Title of host publication	2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	73-78
Number of pages	6
ISBN (Electronic)	9781728120683
DOIs	https://doi.org/10.1109/ICPC2T48082.2020.9071439
Publication status	Published - 01-2020
Event	1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020 - Raipur, Chhattisgarh, India Duration: 03-01-2020 → 05-01-2020

Publication series

Name	2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020

Conference

Conference	1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020
Country/Territory	India
City	Raipur, Chhattisgarh
Period	03-01-20 → 05-01-20

All Science Journal Classification (ASJC) codes

Software
Computational Theory and Mathematics
Energy Engineering and Power Technology
Control and Systems Engineering

Access to Document

10.1109/ICPC2T48082.2020.9071439

Cite this

Sanyal, S., Bhushan, S., & Sivayazi, K. (2020). Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS. In 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020 (pp. 73-78). Article 9071439 (2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPC2T48082.2020.9071439

Sanyal, Snehil ; Bhushan, Shashank ; Sivayazi, K. / Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS. 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 73-78 (2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020).

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title = "Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS",

abstract = "It is important for an Unmanned Aerial Vehicle (UAV) to detect any object in its view. This enables the UAV to locate the object with respect to itself and is required for locking and tracking the object. Object detection and location estimation makes the UAV capable of manipulating the environment as well as to follow the target. In the present work, object detection has been carried out using You Only Look Once (YOLO) to detect the object in the image stream of the Robot Operating System (ROS) bag file. The GPS information of the UAV is used to further calculate the GPS coordinates of the object. The images are acquired using a single monocular camera.",

author = "Snehil Sanyal and Shashank Bhushan and K. Sivayazi",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020 ; Conference date: 03-01-2020 Through 05-01-2020",

year = "2020",

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doi = "10.1109/ICPC2T48082.2020.9071439",

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series = "2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020",

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Sanyal, S, Bhushan, S & Sivayazi, K 2020, Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS. in 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020., 9071439, 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020, Institute of Electrical and Electronics Engineers Inc., pp. 73-78, 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020, Raipur, Chhattisgarh, India, 03-01-20. https://doi.org/10.1109/ICPC2T48082.2020.9071439

Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS. / Sanyal, Snehil; Bhushan, Shashank; Sivayazi, K.
2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 73-78 9071439 (2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020).

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

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AU - Sanyal, Snehil

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AU - Sivayazi, K.

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N2 - It is important for an Unmanned Aerial Vehicle (UAV) to detect any object in its view. This enables the UAV to locate the object with respect to itself and is required for locking and tracking the object. Object detection and location estimation makes the UAV capable of manipulating the environment as well as to follow the target. In the present work, object detection has been carried out using You Only Look Once (YOLO) to detect the object in the image stream of the Robot Operating System (ROS) bag file. The GPS information of the UAV is used to further calculate the GPS coordinates of the object. The images are acquired using a single monocular camera.

AB - It is important for an Unmanned Aerial Vehicle (UAV) to detect any object in its view. This enables the UAV to locate the object with respect to itself and is required for locking and tracking the object. Object detection and location estimation makes the UAV capable of manipulating the environment as well as to follow the target. In the present work, object detection has been carried out using You Only Look Once (YOLO) to detect the object in the image stream of the Robot Operating System (ROS) bag file. The GPS information of the UAV is used to further calculate the GPS coordinates of the object. The images are acquired using a single monocular camera.

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M3 - Conference contribution

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Sanyal S, Bhushan S, Sivayazi K. Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS. In 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 73-78. 9071439. (2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020). doi: 10.1109/ICPC2T48082.2020.9071439

Detection and location estimation of object in unmanned aerial vehicle using single camera and GPS

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