A vision and neural network based air-ground coordinated control system

Muyun Jiang, Jiahui Shi, Hongbin Ma, You Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an air-ground coordinated system made up of an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV). The movement of UGV is totally controlled by UAV and multiple sensors are adopted in the system to ensure the stability. A novel neutral network algorithm is introduced to identify the location and orientation of UGV. Each component is introduced and tested in detail and the coordinated system performs a satisfying result.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
EditorsXin Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages488-493
Number of pages6
ISBN (Electronic)9781538631065
DOIs
Publication statusPublished - 2 Jul 2017
Event2017 IEEE International Conference on Unmanned Systems, ICUS 2017 - Beijing, China
Duration: 27 Oct 201729 Oct 2017

Publication series

NameProceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Volume2018-January

Conference

Conference2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Country/TerritoryChina
CityBeijing
Period27/10/1729/10/17

Keywords

  • Air-ground system
  • Neutral Network

Fingerprint

Dive into the research topics of 'A vision and neural network based air-ground coordinated control system'. Together they form a unique fingerprint.

Cite this