{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:47:51Z","timestamp":1775076471442,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"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":[[2024,6,24]]},"DOI":"10.1109\/ur61395.2024.10597528","type":"proceedings-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T17:23:58Z","timestamp":1722014638000},"page":"566-573","source":"Crossref","is-referenced-by-count":4,"title":["Exploring Image Fusion Techniques for Off-Road Semantic Segmentation in Harsh Lighting Conditions. A Multispectral Imagery Analysis"],"prefix":"10.1109","author":[{"given":"Pankaj","family":"Deoli","sequence":"first","affiliation":[{"name":"University of Kaiserslautern-Landau,RR Lab,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubham Abhay","family":"Deshpande","sequence":"additional","affiliation":[{"name":"University of Kaiserslautern-Landau,RR Lab,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Axel","family":"Vierling","sequence":"additional","affiliation":[{"name":"University of Kaiserslautern-Landau,RR Lab,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karsten","family":"Berns","sequence":"additional","affiliation":[{"name":"University of Kaiserslautern-Landau,RR Lab,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR.2015.7298965","article-title":"Fully Convolutional Networks for Semantic Segmentation","volume-title":"ArXiv preprint","author":"Long"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1109\/ICCV.2015.178","article-title":"Learning Deconvolution Network for Semantic Segmentation","volume-title":"ArXiv preprint","author":"Noh"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref5","article-title":"Multi-Scale Context Aggregation by Dilated Convolutions","volume-title":"ArXiv preprint","author":"Yu"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref7","article-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","volume-title":"ArXiv preprint","author":"Ioffe"},{"issue":"1","key":"ref8","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"The journal of machine learning research"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/135"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412293"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2887342"},{"key":"ref12","first-page":"2725","article-title":"NIR\/RGB image fusion for scene classification using deep neural networks","volume-title":"Vis Comput","volume":"39","author":"Soroush","year":"2023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2019.2904733"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/msm49833.2020.9201738"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.5220\/0007360400002108"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/crv52889.2021.00030"},{"key":"ref17","article-title":"Deep Mul-tispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion","volume-title":"2016 International Symposium on Experimental Robotics. ISER 2016. Springer Proceedings in Advanced Robotics","volume":"1","author":"Valada","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67361-5_22"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/access.2022.3154419"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5220\/0010349805520557"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR42600.2020.01164","article-title":"nuScenes: A multimodal dataset for autonomous driving","volume-title":"ArXiv preprint","author":"Caesar"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2019.2926463"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1109\/CVPR.2016.350","article-title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","volume-title":"ArXiv preprint","author":"Cordts"},{"key":"ref26","article-title":"A2D2: Audi Autonomous Driving Dataset","volume-title":"ArXiv preprint","author":"Geyer"},{"key":"ref27","article-title":"Cognitive Processing in Behavior-Based Perception of Autonomous Off-Road Vehicles","volume-title":"Dr. Hut","author":"Wolf","year":"2022"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/UR57808.2023.10202220"},{"key":"ref29","first-page":"978","article-title":"Traction Optimization for Robust Navigation in Unstructured Environments Using Deep Neural Networks on the Example of the Off-Road Truck Unimog","volume-title":"Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems","volume":"577","author":"Wolf","year":"2023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.21236\/ada164453"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-24628-9_16"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.131"}],"event":{"name":"2024 21st International Conference on Ubiquitous Robots (UR)","location":"New York, NY, USA","start":{"date-parts":[[2024,6,24]]},"end":{"date-parts":[[2024,6,27]]}},"container-title":["2024 21st International Conference on Ubiquitous Robots (UR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10597436\/10597437\/10597528.pdf?arnumber=10597528","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,27]],"date-time":"2024-07-27T05:29:20Z","timestamp":1722058160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10597528\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,24]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ur61395.2024.10597528","relation":{},"subject":[],"published":{"date-parts":[[2024,6,24]]}}}