An approach into navigation and vision for autonomous fire fighting robots
by Shaun Q.Y. Tan; V.J. Karthik; A. Govind; P.M. Rajasree
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 10, No. 3, 2023

Abstract: Fires are dangerous and are a threat to life, property and the environment, if left uncontrolled. There is thus a need for technology, especially the use of unmanned autonomous wheeled rescue robots to tackle such situations. In this paper, a path planning algorithm is developed using a combination of image processing techniques along with the A* algorithm which is able to find a path within an indoor environment, given a fire escape plan as its input. In addition, a fire recognition and localisation system is also presented, which combines a particle swarm optimisation (PSO) optimised convolutional neural network (CNN) with various image processing techniques to recognise and localise fire sources in input images. The scope and future improvements for this work are also discussed.

Online publication date: Tue, 25-Jul-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Mechatronic Systems (IJAMECHS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com