Development process of a smart UAV for autonomous target detection

2Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

The project outlines the development of an autonomous quadcopter that can be used in GPS or motion capture cameras denied environment where the quadcopter needs to localize itself. The quadcopter developed can detect targets using only onboard sensors and compute using low cost parts. Following a preset criteria, a medium sized S500 drone was modified to function using a Pixhawk 2.1 Cube flight controller for actuator control and an NVIDIA TK1 Developer board for the processing of raw sensory data, localization, and path planning.

Cite

CITATION STYLE

APA

Dan, R. B. T., Shah, U., Hussain, W., Elzawawy, A., & Rahemi, H. (2018). Development process of a smart UAV for autonomous target detection. In Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (Vol. 2018-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2018.1.1.480

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free