{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T18:20:43Z","timestamp":1730226043846,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T00:00:00Z","timestamp":1658966400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,28]],"date-time":"2022-07-28T00:00:00Z","timestamp":1658966400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,28]]},"DOI":"10.1109\/hsi55341.2022.9869472","type":"proceedings-article","created":{"date-parts":[[2022,8,30]],"date-time":"2022-08-30T15:56:17Z","timestamp":1661874977000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Towards Safety in Open-field Agricultural Robotic Applications: A Method for Human Risk Assessment using Classifiers"],"prefix":"10.1109","author":[{"given":"Jose C.","family":"Mayoral","sequence":"first","affiliation":[{"name":"Norwegian University of Life Sciences (NMBU)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Grimstad","sequence":"additional","affiliation":[{"name":"Norwegian University of Life Sciences (NMBU)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pal J.","family":"From","sequence":"additional","affiliation":[{"name":"Norwegian University of Life Sciences (NMBU)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Grzegorz","family":"Cielniak","sequence":"additional","affiliation":[{"name":"University of Lincoln (UoL)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"472","article-title":"Strategy for Safer Agricultural Robots","volume":"6 6","author":"mitka","year":"2018","journal-title":"Economic world"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2018.03.043"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2020.09.009"},{"journal-title":"Robots and robotic devices — collaborative robots","year":"2016","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23232-9_50"},{"article-title":"SMOF - A Safety MOnitoring Framework for Autonomous Systems To cite this version : HAL Id : hal-01394139 SMOF - A Safety MOnitoring Framework for Autonomous Systems","year":"2018","author":"machin","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-011-9224-5"},{"journal-title":"A survey of deep learning techniques for mobile robot applications","year":"2018","author":"shabbir","key":"ref17"},{"key":"ref18","article-title":"Deep learning for Real Time Collision Detection and Avoidance","author":"aghav","year":"2017","journal-title":"Proceedings of International Conference on Communication Computing and Networking"},{"journal-title":"Automatic Dataset Augmentation Using Virtual Human Simulation","year":"2019","author":"ghilardi","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-48847-8_23"},{"journal-title":"Road vehicles – Functional safety","year":"2018","key":"ref3"},{"journal-title":"Agricultural machinery and tractors – Safety of highly automated agricultural machines – Principles for design","year":"2018","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2013.07.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2020.101998"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.25165\/j.ijabe.20181104.4278"},{"article-title":"A Safety-Based Decision Architecture for Autonomous Making Systems","year":"1991","author":"musto","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2018.12.005"},{"journal-title":"Integration of a Human-aware Risk-based Braking System into an Open-Field Mobile Robot","year":"2021","author":"mayoral","key":"ref9"},{"journal-title":"Mixing Real and Synthetic Data to Enhance Neural Network Training – A Review of Current Approaches","year":"2020","author":"seib","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00295"},{"key":"ref21","article-title":"3D People: Modeling the Geometry of Dressed Humans","author":"pumarola","year":"2019","journal-title":"Int Conf in Computer Vision (ICCV)"},{"key":"ref23","article-title":"YOLOv4: Optimal Speed and Accuracy of Object Detection","volume":"abs 2004 10934","author":"bochkovskiy","year":"2020","journal-title":"CoRR"}],"event":{"name":"2022 15th International Conference on Human System Interaction (HSI)","start":{"date-parts":[[2022,7,28]]},"location":"Melbourne, Australia","end":{"date-parts":[[2022,7,31]]}},"container-title":["2022 15th International Conference on Human System Interaction (HSI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9869420\/9869438\/09869472.pdf?arnumber=9869472","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T16:20:02Z","timestamp":1663604402000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9869472\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,28]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/hsi55341.2022.9869472","relation":{},"subject":[],"published":{"date-parts":[[2022,7,28]]}}}