A Review on Collision Avoidance Systems for Unmanned Aerial Vehicles

Kelvin Dushime, Lewis Nkenyereye, Seongki Yoo, Jae Seung Song

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

2 Citations (Scopus)
486 Downloads (Pure)

Abstract

The unmanned Aerial Vehicles (UAV) concept has attracted the attention of both academia and industry as an alternative to reduce the traffic congestion limitation. To coordinate the UAVs located in the sky, also called drones, the concept of the Internet of Drones (IoD) was introduced as overall coordination of UAVs in the sky. IoD paradigm offers a wide range of applications mainly targeting the military and civilian environments. Some of those applications include transportation, agriculture-based systems, entertainment, weather monitoring, healthcare systems, and road hazards monitoring. However, once an area is highly congested by a various number of drones, dynamic or statics obstacles can hinder the overall performance of drones. In order to avoid those obstacles, one of the proposed solutions is to apply collision avoidance techniques while the drones are on duty. In this paper, we present a brief survey of collision avoidance systems for the internet of drones. We have reviewed the current literature review ranging from the year 2010 to 2021. This work has taken into consideration two main frequently used databases in academia: Xplore for IEEE and ScienceDirect for Elsevier. After article selection, some articles were retained and discussed. A detailed discussion and analysis of selected articles were made while most of the techniques used in collision avoidance systems include video-based systems and swarm-based intelligence approaches. Furthermore, the paper discusses the different approaches which are used to design collision avoidance systems. Finally, this paper provides concluding remarks and future research orientation that will mainly focus on AI-based algorithms applied in collision avoidance systems.
Original languageEnglish
Title of host publication2021 International Conference on ICT Convergence (ICTC)
Subtitle of host publicationBeyond the Pandemic Era with ICT Convergence Innovation
PublisherIEEE
Pages1150 - 1155
Number of pages6
ISBN (Electronic)9781665423830
ISBN (Print)978-1-6654-2383-0
DOIs
Publication statusPublished - 7 Dec 2021
Event12th International Conference on ICT Convergence - Jeju Island, Korea, Republic of
Duration: 20 Oct 202122 Oct 2021

Publication series

NameInternational Conference on ICT Convergence
Volume2021-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference12th International Conference on ICT Convergence
Abbreviated titleICTC2021
Country/TerritoryKorea, Republic of
CityJeju Island
Period20/10/2122/10/21

Bibliographical note

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

  • Internet of Things
  • Unmanned Aerial Vehicles (UAV)
  • Internet of Drones
  • Prediction
  • Collision avoidance

Fingerprint

Dive into the research topics of 'A Review on Collision Avoidance Systems for Unmanned Aerial Vehicles'. Together they form a unique fingerprint.

Cite this