{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T14:59:40Z","timestamp":1775573980517,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T00:00:00Z","timestamp":1599696000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T00:00:00Z","timestamp":1599696000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T00:00:00Z","timestamp":1599696000000},"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":[[2020,9,10]]},"DOI":"10.1109\/ever48776.2020.9242954","type":"proceedings-article","created":{"date-parts":[[2020,11,2]],"date-time":"2020-11-02T17:10:32Z","timestamp":1604337032000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Importance of Contextual Information for the Detection of Road Damages"],"prefix":"10.1109","author":[{"given":"Konstantin","family":"Riedl","sequence":"first","affiliation":[]},{"given":"Sebastian","family":"Huber","sequence":"additional","affiliation":[]},{"given":"Maximilian","family":"Bomer","sequence":"additional","affiliation":[]},{"given":"Julian","family":"Kreibich","sequence":"additional","affiliation":[]},{"given":"Felix","family":"Nobis","sequence":"additional","affiliation":[]},{"given":"Johannes","family":"Betz","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"CoRR"},{"key":"ref30","author":"ale","year":"2018","journal-title":"Git repository Road damage detection using retinanet"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS.2011.5982206"},{"key":"ref11","first-page":"360","article-title":"Pothole detection system using machine learning on android","volume":"4","author":"kulkarni","year":"2014","journal-title":"International Journal of Emerging Technology and Advanced Engineering"},{"key":"ref12","article-title":"Intelligent pothole detection and road condition assessment","author":"bhatt","year":"2017"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.14257\/astl.2018.150.35"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/23311916.2017.1374822"},{"key":"ref15","article-title":"Detecting potholes using simple image processing techniques and real-world footage","author":"nienaber","year":"2015","journal-title":"20th South African Transport conference"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/MIPRO.2017.7973589"},{"key":"ref17","author":"maeda","year":"0","journal-title":"Git repository Road damage detection and classification using deep neural networks with smartphone images"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12387"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622025"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2926463"},{"key":"ref4","year":"2018","journal-title":"ZEB-Jahresmessung 2018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref3","first-page":"305","article-title":"Verkehr - Verkehrsunfälle 2017","volume":"8","author":"bundesamt","year":"2017"},{"key":"ref6","first-page":"40","article-title":"Electronic horizon - providing digital map data for adas applications","author":"ress","year":"2008","journal-title":"Proceedings of the 2nd International Workshop on Intelligent Vehicle Control Systems (IVCS)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref5","first-page":"603","article-title":"Review and analysis of pothole detection methods","volume":"5","author":"kim","year":"2014","journal-title":"Journal of Emerging Trends in Computing and Information Sciences"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1378600.1378605"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2016.7535454"},{"key":"ref2","year":"2018","journal-title":"Road Accidents in India – 2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1460412.1460450"},{"key":"ref1","first-page":"13","article-title":"A relationship between accident types and causes","volume":"11","author":"vogel","year":"2005","journal-title":"Proceedings of the 24th Southern African Transport Conference (SATC 2005)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2018.8615819"},{"key":"ref22","year":"0","journal-title":"Git repository CarND-Semantic-Segmentation"},{"key":"ref21","article-title":"Fully convolutional networks for semantic segmentation","author":"long","year":"2014"},{"key":"ref24","year":"2019","journal-title":"deeplearning net U-net"},{"key":"ref23","author":"seif","year":"0","journal-title":"Semantic segmentation suite"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref25","article-title":"BDD100K: A diverse driving video database with scalable annotation tooling","author":"yu","year":"2018"}],"event":{"name":"2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)","location":"Monte-Carlo, Monaco","start":{"date-parts":[[2020,9,10]]},"end":{"date-parts":[[2020,9,12]]}},"container-title":["2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9242649\/9242920\/09242954.pdf?arnumber=9242954","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:57:18Z","timestamp":1656331038000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9242954\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,10]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ever48776.2020.9242954","relation":{},"subject":[],"published":{"date-parts":[[2020,9,10]]}}}