{"type":"ScholarlyArticle","title":"SVM-based Obstacles Recognition for Road Vehicle Applications","authors":[{"name":"Miguel Ángel Sotelo","slug":"miguel-angel-sotelo","given":"Miguel Ángel","family":"Sotelo","affiliation":""},{"name":"Jesús Nuevo","slug":"jesus-nuevo","given":"Jesús","family":"Nuevo","affiliation":""},{"name":"David Fernández","slug":"david-fernandez","given":"David","family":"Fernández","affiliation":""},{"name":"Ignacio Parra","slug":"ignacio-parra","given":"Ignacio","family":"Parra","affiliation":""},{"name":"Luis Miguel Bergasa","slug":"luis-miguel-bergasa","given":"Luis Miguel","family":"Bergasa","affiliation":""},{"name":"Manuel Ocaña","slug":"manuel-ocana","given":"Manuel","family":"Ocaña","affiliation":""},{"name":"Ramón Flores","slug":"ramon-flores","given":"Ramón","family":"Flores","affiliation":""}],"abstract":"This paper describes an obstacle Recognition System based on SVM and vision. The basic components of the detected objects are first located in the image and then combined with a SVM-based classifier. A distributed learning approach is proposed in order to better deal with objects variability, illumination conditions, partial occlusions and rotations. A large database containing thousands of object examples extracted from real road images has been created for learning purposes. We present and discuss the results achieved up to date.","doi":null,"url":"https://ijcai.org/proceedings/2005/239","pdf":"https://ijcai.org/proceedings/2005/0239.pdf","markdown":"https://ijcai.org/proceedings/2005/239.md","bibtex":"https://ijcai.org/proceedings/2005/bibtex/239","volume":{"slug":"2005","title":"Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2005","url":"https://ijcai.org/proceedings/2005/","year":2005,"location":"Edinburgh, Scotland, UK","dates":"","editors":"","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":239,"pages":{"first":1740,"last":1740},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}