Comparative Study of Navigation Methods for Unmanned Vehicles in a GPS-Denied Environment

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Author(s)

Sushmita S Warrier 1 Hardik Modi 1

1. Charotar University of Science and Technology,Changa-388421,Gujarat,India

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2016.02.04

Received: 3 Dec. 2015 / Revised: 6 Jan. 2016 / Accepted: 9 Feb. 2016 / Published: 8 Mar. 2016

Index Terms

GPS-denied environment, SLAM, LIDAR, navigation, unmanned vehicles, submap, orthophoto

Abstract

In this era of increasing technological advancement, where mankind is pushing the frontiers of exploration, systems are required to be increasingly autonomous and intelligent in order to work efficiently, and to provide optimum results. Unmanned vehicles generally use GPS to find their position in an environment and navigate. In this paper, we have studied and analysed two different algorithms used for navigating in a GPS denied environment, which is a more common scenario than navigating in a GPS-enabled environment. The SLAM algorithm generates a map of its environment by estimation and mapping, while the LIDAR maps its environment using pulses of a short wavelength. Both of them can be used for widely varying applications, and current researches in these fields are crucial in the development of autonomous systems.

Cite This Paper

Sushmita S Warrier, Hardik Modi,"Comparative Study of Navigation Methods for Unmanned Vehicles in a GPS-Denied Environment",International Journal of Wireless and Microwave Technologies(IJWMT), Vol.6, No.2, pp.30-38, 2016. DOI: 10.5815/ijwmt.2016.02.04

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