---
title: "SVM-based Obstacles Recognition for Road Vehicle Applications"
authors:
  - "Miguel Ángel Sotelo"
  - "Jesús Nuevo"
  - "David Fernández"
  - "Ignacio Parra"
  - "Luis Miguel Bergasa"
  - "Manuel Ocaña"
  - "Ramón Flores"
doi: ""
url: "https://ijcai.org/proceedings/2005/239"
pdf: "https://ijcai.org/proceedings/2005/0239.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1740-1740"
track: ""
keywords:
---

# SVM-based Obstacles Recognition for Road Vehicle Applications

Miguel Ángel Sotelo, Jesús Nuevo, David Fernández, Ignacio Parra, Luis Miguel Bergasa, Manuel Ocaña, Ramón Flores

*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.