{"_id":"arNTJJ3YmFB6aT8Kc","bibbaseid":"turrado-koloda-rincn-usingtemporalinformationindeeplearningarchitecturestoimprovelanedetectionunderadversesituations-2022","author_short":["Turrado, D.","Koloda, J.","Rincón, M."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Diego"],"propositions":[],"lastnames":["Turrado"],"suffixes":[]},{"firstnames":["Ján"],"propositions":[],"lastnames":["Koloda"],"suffixes":[]},{"firstnames":["Mariano"],"propositions":[],"lastnames":["Rincón"],"suffixes":[]}],"editor":[{"firstnames":["José","Manuel","Ferrández"],"propositions":["de"],"lastnames":["Vicente"],"suffixes":[]},{"firstnames":["José","Ramón","Álvarez"],"propositions":[],"lastnames":["Sánchez"],"suffixes":[]},{"firstnames":["Félix"],"propositions":["de","la"],"lastnames":["Paz","López"],"suffixes":[]},{"firstnames":["Hojjat"],"propositions":[],"lastnames":["Adeli"],"suffixes":[]}],"title":"Using Temporal Information in Deep Learning Architectures to Improve Lane Detection Under Adverse Situations","booktitle":"Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II","series":"Lecture Notes in Computer Science","volume":"13259","pages":"366–373","publisher":"Springer","year":"2022","url":"https://doi.org/10.1007/978-3-031-06527-9\\_36","doi":"10.1007/978-3-031-06527-9_36","timestamp":"Mon, 13 Jun 2022 01:00:00 +0200","biburl":"https://dblp.org/rec/conf/iwinac/TurradoKR22.bib","bibsource":"dblp computer science bibliography, https://dblp.org","bibtex":"@inproceedings{DBLP:conf/iwinac/TurradoKR22,\n author = {Diego Turrado and\n J{\\'{a}}n Koloda and\n Mariano Rinc{\\'{o}}n},\n editor = {Jos{\\'{e}} Manuel Ferr{\\'{a}}ndez de Vicente and\n Jos{\\'{e}} Ram{\\'{o}}n {\\'{A}}lvarez S{\\'{a}}nchez and\n F{\\'{e}}lix de la Paz L{\\'{o}}pez and\n Hojjat Adeli},\n title = {Using Temporal Information in Deep Learning Architectures to Improve\n Lane Detection Under Adverse Situations},\n booktitle = {Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence\n - 9th International Work-Conference on the Interplay Between Natural\n and Artificial Computation, {IWINAC} 2022, Puerto de la Cruz, Tenerife,\n Spain, May 31 - June 3, 2022, Proceedings, Part {II}},\n series = {Lecture Notes in Computer Science},\n volume = {13259},\n pages = {366--373},\n publisher = {Springer},\n year = {2022},\n url = {https://doi.org/10.1007/978-3-031-06527-9\\_36},\n doi = {10.1007/978-3-031-06527-9\\_36},\n timestamp = {Mon, 13 Jun 2022 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/iwinac/TurradoKR22.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n","author_short":["Turrado, D.","Koloda, J.","Rincón, M."],"editor_short":["de Vicente, J. M. F.","Sánchez, J. R. Á.","de la Paz López, F.","Adeli, H."],"key":"DBLP:conf/iwinac/TurradoKR22","id":"DBLP:conf/iwinac/TurradoKR22","bibbaseid":"turrado-koloda-rincn-usingtemporalinformationindeeplearningarchitecturestoimprovelanedetectionunderadversesituations-2022","role":"author","urls":{"Paper":"https://doi.org/10.1007/978-3-031-06527-9\\_36"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://dblp.org/search/publ/api?format=bib&h=1000&q=|author:José_R._Álvarez_0001:|author:Margarita_Bachiller:|author:Margarita_Bachiller_Mayoral:|author:Enrique_J._Carmona:|author:José_Manuel_Cuadra_Troncoso:|author:Carolina_Mañoso:|author:Rafael_Martínez-Tomás:|author:Félix_de_la_Paz:|author:Angel_Pérez_de_Madrid:|author:Mariano_Rincón:|author:Miguel_Romero_0003:|author:Miguel_Romero_Hortelano:","dataSources":["FPiBwpktEjGDAYq8N","mBLCo6KKCGPm3zsbT","hvdAyweRLmZ5ekJRL","TYePHFuADQcpEYz7b","CMskC9HN33E2f7e6H"],"keywords":[],"search_terms":["using","temporal","information","deep","learning","architectures","improve","lane","detection","under","adverse","situations","turrado","koloda","rincón"],"title":"Using Temporal Information in Deep Learning Architectures to Improve Lane Detection Under Adverse Situations","year":2022}