SVM-based Obstacles Recognition for Road Vehicle Applications
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1740-1740.
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.
@inproceedings{ijcai2005p239,
title = {SVM-based Obstacles Recognition for Road Vehicle Applications},
author = {Sotelo, Miguel Ángel and Nuevo, Jesús and Fernández, David and Parra, Ignacio and Bergasa, Luis Miguel and Ocaña, Manuel and Flores, Ramón},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1740--1740},
year = {2005},
url = {https://ijcai.org/proceedings/2005/239},
}
TY - CPAPER TI - SVM-based Obstacles Recognition for Road Vehicle Applications AU - Sotelo, Miguel Ángel AU - Nuevo, Jesús AU - Fernández, David AU - Parra, Ignacio AU - Bergasa, Luis Miguel AU - Ocaña, Manuel AU - Flores, Ramón T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1740 EP - 1740 UR - https://ijcai.org/proceedings/2005/239 ER -Copied
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