Autonomous Unmanned Aerial Vehicle Indoor Navigation Based on Deep Learning Approaches-Reference-Cited by-同舟云学术

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Autonomous Unmanned Aerial Vehicle Indoor Navigation Based on Deep Learning Approaches

Published:2023-12-19 Issue: Volume:15 Page:813-820
ISSN:
Container-title:2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM)
language:
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Author:

Ghasemi Hamed¹,Balazadeh Elnaz²,Malekpour Shayan³,Kalhor Ahmad¹,Masouleh Mehdi Tale¹

Affiliation:

1. University of Tehran,Human and Robot Interaction Laboratory School of Electrical and Computer engineering,Tehran,Iran

2. University of Tehran,Human and Robot Interaction Laboratory,Tehran,Iran

3. University of Tehran,School of Electrical and Computer engineering,Department of electrical and computer engineering,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10412246/10412347/10412578.pdf?arnumber=10412578

Reference34 articles.

1. DroNet: Learning to Fly by Driving

2. Three-dimensional constrained optimal motion planning for a six-degree-of-freedom quadrotor helicopter for urban traffic purposes;Lavaei Yanesi;Modares Mechanical Engineering,2015

3. Control a Drone Using Hand Movement in ROS Based on Single Shot Detector Approach

4. Implementation of attitude control for an octorotor flying robot in autonomous trajectory tracking;Hadadi;Modares Mechanical Engineering,2016

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