Drone Navigation Using Region and Edge Exploitation-Based Deep CNN-Reference-Cited by-同舟云学术

Drone Navigation Using Region and Edge Exploitation-Based Deep CNN

Published:2022 Issue: Volume:10 Page:95441-95450
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Arshad Muhammad Arif¹,Khan Saddam Hussain¹,Qamar Suleman¹^ORCID,Khan Muhammad Waleed¹^ORCID,Murtza Iqbal²,Gwak Jeonghwan³^ORCID,Khan Asifullah¹^ORCID

Affiliation:

1. Department of Computer and Information Sciences, Pattern Recognition Lab, Pakistan Institute of Engineering & Applied Sciences, Nilore, Islamabad, Pakistan

2. Department of Creative Technologies, Faculty of Computing and AI, Air University, Islamabad, Pakistan

3. Department of Software, Korea National University of Transportation, Chungju, South Korea

Funder

PAIC, PIEAS, IT Endowment under Pakistan Higher Education Commission (HEC) and “Regional Innovation Strategy (RIS)” through the National Research Foundation of Korea

Ministry of Education

Basic Science Research Program through the National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09878336.pdf?arnumber=9878336

Reference59 articles.

1. Optic flow-based vision system for autonomous 3D localization and control of small aerial vehicles

2. PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision

3. OverFeat: Integrated recognition, localization and detection using convolutional networks;sermanet;arXiv 1312 6229,2013

4. Fast R-CNN

5. You Only Look Once: Unified, Real-Time Object Detection

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