Bhuvaneswari Sarupuri, Gun A. Lee, M. Billinghurst
{"title":"Using augmented reality to assist forklift operation","authors":"Bhuvaneswari Sarupuri, Gun A. Lee, M. Billinghurst","doi":"10.1145/3010915.3010952","DOIUrl":null,"url":null,"abstract":"Operating forklifts in warehouses is becoming an increasingly difficult task due to higher shelves and narrower aisles. In this paper we explore how Augmented Reality (AR) can aid forklift operators in performing their pallet racking and pick up tasks by superimposing virtual depth cues over the real world camera view. We developed a prototype interface, and evaluated it using a remote controlled toy forklift and a motion tracking. We measured the participant's performance on representative pallet handling tasks, finding a significant difference in the performance of participants using AR depth cues. The results show that AR could offer a novel, simple and efficient solution for the problems faced by forklift operators while performing pallet handling.","PeriodicalId":309823,"journal":{"name":"Proceedings of the 28th Australian Conference on Computer-Human Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th Australian Conference on Computer-Human Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3010915.3010952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Operating forklifts in warehouses is becoming an increasingly difficult task due to higher shelves and narrower aisles. In this paper we explore how Augmented Reality (AR) can aid forklift operators in performing their pallet racking and pick up tasks by superimposing virtual depth cues over the real world camera view. We developed a prototype interface, and evaluated it using a remote controlled toy forklift and a motion tracking. We measured the participant's performance on representative pallet handling tasks, finding a significant difference in the performance of participants using AR depth cues. The results show that AR could offer a novel, simple and efficient solution for the problems faced by forklift operators while performing pallet handling.