{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:15:26Z","timestamp":1773512126254,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191333","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T13:30:03Z","timestamp":1690983003000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["MobileWeatherNet for LiDAR-Only Weather Estimation"],"prefix":"10.1109","author":[{"given":"Martim Pinto","family":"Da Silva","sequence":"first","affiliation":[{"name":"Bosch Car Multimedia,Braga,Portugal"}]},{"given":"Diogo","family":"Carneiro","sequence":"additional","affiliation":[{"name":"Bosch Car Multimedia,Braga,Portugal"}]},{"given":"Jo\u00e3o","family":"Fernandes","sequence":"additional","affiliation":[{"name":"University of Porto,Porto,Portugal"}]},{"given":"Lu\u00eds Filipe","family":"Texeira","sequence":"additional","affiliation":[{"name":"University of Porto,Porto,Portugal"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/s20154306"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2984801"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/CVPR.2016.90","article-title":"Deep residual learning for image recognition","author":"he","year":"2016","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IV48863.2021.9575320"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-33-4597-3_80"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SSRR.2017.8088147"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564490"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569624"},{"key":"ref33","article-title":"Striving for simplicity: The all convolutional net","author":"springenberg","year":"2015","journal-title":"3rd International Conference on Learning Representations ICLR 2015 San Diego CA USA May 7–9 2015 Workshop Track Proceedings"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5220\/0009354500002550"},{"key":"ref32","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2973615"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11142162"},{"key":"ref17","article-title":"KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d","volume":"abs 2109 13410","author":"liao","year":"2021","journal-title":"CoRR"},{"key":"ref16","article-title":"Yolov3: An incremental improvement","volume":"abs 1804 2767","author":"redmon","year":"2018","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1177\/0278364920961451"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9562089"},{"key":"ref23","article-title":"One thousand and one hours: Self-driving motion prediction dataset","volume":"abs 2006 14480","author":"houston","year":"2020","journal-title":"CoRR"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1177\/0278364920979368","article-title":"Canadian adverse driving conditions dataset","volume":"40","author":"pitropov","year":"2020","journal-title":"The International Journal of Robotics Research"},{"key":"ref25","article-title":"Seeing through fog without seeing fog: Deep sensor fusion in the absence of labeled training data","volume":"abs 1902 8913","author":"bijelic","year":"2019","journal-title":"CoRR"},{"key":"ref20","article-title":"1 year, 1000 km: The oxford robotcar dataset","volume":"36","author":"maddern","year":"2016","journal-title":"The International Journal of Robotics Research"},{"key":"ref22","article-title":"A2D2: Audi autonomous driving dataset","volume":"abs 2004 6320","author":"geyer","year":"2020","journal-title":"CoRR"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197385"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569311"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967762"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294293"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2998077"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2989148"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2972865"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MVT.2019.2892497"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015992"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/IVS.2018.8500543","article-title":"A benchmark for lidar sensors in fog: Is detection breaking down?","author":"bijelic","year":"2018","journal-title":"2018 IEEE Intelligent Vehicles Symposium (IV)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814205"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","location":"Gold Coast, Australia","start":{"date-parts":[[2023,6,18]]},"end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191333.pdf?arnumber=10191333","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T13:46:43Z","timestamp":1692625603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191333\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191333","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}