Fuzzy inference for crash avoidance of industrial lift trucks
| dc.authorid | 0000-0003-4975-9440 | en_US |
| dc.authorid | 0000-0001-5689-8786 | en_US |
| dc.authorid | 0000-0002-4944-1013 | en_US |
| dc.contributor.author | Göçer, Gökçe | |
| dc.contributor.author | Taş, Muhammed Oğuz | |
| dc.contributor.author | Yavuz, Hasan Serhan | |
| dc.date.accessioned | 2023-03-18T18:33:10Z | |
| dc.date.available | 2023-03-18T18:33:10Z | |
| dc.date.issued | 2022 | en_US |
| dc.department | Başka Kurum | en_US |
| dc.description.abstract | Industrial lift trucks, also shortly known as the forklifts, have limited viewing angles and accelerate rapidly. This situation may cause accidents in the work area and therefore the loss of property and time. In this study, the crash risk of the autonomous forklifts that cause accidents during backward movements in factories or warehouses is calculated by designing a fuzzy inference mechanism. This mechanism takes into account the backward speed of the vehicle and the distance between the object and the vehicle. A Simulink model has also been created for the designed system to take appropriate actions in collision avoidance. The proposed system was tested in a simulation environment assumed to be the factory environment having obstacles. As a result, we observed that the vehicle reached its destination by taking appropriate actions with successfully avoiding obstacles. | en_US |
| dc.identifier.citation | Göçer, G., Taş, M. O., Yavuz, H. S., (2022). Fuzzy inference for crash avoidance of industrial lift trucks. Selcuk University Journal of Engineering Sciences, 21, (01), 1-8. | en_US |
| dc.identifier.endpage | 8 | en_US |
| dc.identifier.issn | 2757-8828 | en_US |
| dc.identifier.issue | 01 | en_US |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12395/46151 | |
| dc.identifier.volume | 21 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Selçuk Üniversitesi | en_US |
| dc.relation.ispartof | Selcuk University Journal of Engineering Sciences | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Başka Kurum Yazarı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.selcuk | 20240510_oaig | en_US |
| dc.subject | Collision Avoidance | en_US |
| dc.subject | Crash Risk | en_US |
| dc.subject | Forklift | en_US |
| dc.subject | Fuzzy Inference System | en_US |
| dc.title | Fuzzy inference for crash avoidance of industrial lift trucks | en_US |
| dc.type | Article | en_US |
