Human Safety in Autonomous Transport Systems – Review and Case Study
During the robot's operational tasks, a key issue is its reliability in the aspect of human safety providing. Currently, there are a number of methods used to detect people, and their selection most often depends on the type of process carried out by robots. Therefore, the article is focused on...
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Online Access: | https://doi.org/10.2478/jok-2021-0005 |
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doaj-d82591e53a8e492ea939dbc29ec374622021-09-06T19:41:45ZengSciendoJournal of KONBiN2083-46082021-03-01511577110.2478/jok-2021-0005Human Safety in Autonomous Transport Systems – Review and Case StudyDąbrowska Alicja0Giel Robert1Werbińska-Wojciechowska Sylwia2Wrocław University of Science and TechnologyWrocław University of Science and TechnologyWrocław University of Science and TechnologyDuring the robot's operational tasks, a key issue is its reliability in the aspect of human safety providing. Currently, there are a number of methods used to detect people, and their selection most often depends on the type of process carried out by robots. Therefore, the article is focused on the development of a comparative analysis of selected methods of human detection in the storage area. The main aspect in the context of which these systems were compared concerned the safety of robotic systems in the space of human occurrence. Main advantages and drawbacks of the methods in various applications were presented. The detailed analysis of the achievements in this area gives the possibility to identify research gaps and possible future research directions when using these tools in autonomous warehouses designing processes.https://doi.org/10.2478/jok-2021-0005object detection systemsafetyhuman detectionautonomous transportwarehousereview |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dąbrowska Alicja Giel Robert Werbińska-Wojciechowska Sylwia |
spellingShingle |
Dąbrowska Alicja Giel Robert Werbińska-Wojciechowska Sylwia Human Safety in Autonomous Transport Systems – Review and Case Study Journal of KONBiN object detection system safety human detection autonomous transport warehouse review |
author_facet |
Dąbrowska Alicja Giel Robert Werbińska-Wojciechowska Sylwia |
author_sort |
Dąbrowska Alicja |
title |
Human Safety in Autonomous Transport Systems – Review and Case Study |
title_short |
Human Safety in Autonomous Transport Systems – Review and Case Study |
title_full |
Human Safety in Autonomous Transport Systems – Review and Case Study |
title_fullStr |
Human Safety in Autonomous Transport Systems – Review and Case Study |
title_full_unstemmed |
Human Safety in Autonomous Transport Systems – Review and Case Study |
title_sort |
human safety in autonomous transport systems – review and case study |
publisher |
Sciendo |
series |
Journal of KONBiN |
issn |
2083-4608 |
publishDate |
2021-03-01 |
description |
During the robot's operational tasks, a key issue is its reliability in the aspect of human safety providing. Currently, there are a number of methods used to detect people, and their selection most often depends on the type of process carried out by robots. Therefore, the article is focused on the development of a comparative analysis of selected methods of human detection in the storage area. The main aspect in the context of which these systems were compared concerned the safety of robotic systems in the space of human occurrence. Main advantages and drawbacks of the methods in various applications were presented. The detailed analysis of the achievements in this area gives the possibility to identify research gaps and possible future research directions when using these tools in autonomous warehouses designing processes. |
topic |
object detection system safety human detection autonomous transport warehouse review |
url |
https://doi.org/10.2478/jok-2021-0005 |
work_keys_str_mv |
AT dabrowskaalicja humansafetyinautonomoustransportsystemsreviewandcasestudy AT gielrobert humansafetyinautonomoustransportsystemsreviewandcasestudy AT werbinskawojciechowskasylwia humansafetyinautonomoustransportsystemsreviewandcasestudy |
_version_ |
1717765503108251648 |