ML Anthology

SVM-Based Obstacles Recognition for Road Vehicle Applications

Miguel Ángel Sotelo, Jesús Nuevo, David Fernández, Ignacio Parra, Luis Miguel Bergasa, Manuel Ocaña, Ramón Flores
IJCAI 2005 pp. 1740-1741
/ijcai/2005/sotelo2005ijcai-svm/

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. 1

PDF Semantic Scholar

Cite

Text

Sotelo et al. "SVM-Based Obstacles Recognition for Road Vehicle Applications." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Sotelo et al. "SVM-Based Obstacles Recognition for Road Vehicle Applications." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/sotelo2005ijcai-svm/)

BibTeX

@inproceedings{sotelo2005ijcai-svm,
  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 = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1740-1741},
  url       = {https://mlanthology.org/ijcai/2005/sotelo2005ijcai-svm/}
}