Lane detection is a problem that has attracted in the last years the attention of the computer vision community. Most of approaches used until now to face this problem combine conventional image processing, image analysis and pattern classification techniques. In this paper, we propose a methodology based on so-called Ellipsoidal Neural Networks with Dendritic Processing (ENNDPs) as a new approach to provide a solution to this important problem. The functioning and performance of the proposed methodology is validated with a real video taken by a camera mounted on a car circulating on urban highway of Mexico City.
|Number of pages||7|
|Journal||ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences|
|State||Published - 25 Sep 2017|
|Event||2nd International Conference on Smart Data and Smart Cities, UDMS 2017 - Puebla, Mexico|
Duration: 4 Oct 2017 → 6 Oct 2017
- Artificial Neural Networks
- Dendritic Processing
- Ellipsoidal Neuron
- Lane Detection.