Free-space detection with fish-eye cameras
| Autor: | Ruben Heras Evangelio, Michael Patzold, Hadj Hamma Tadjine, Simon Hanisch |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Segmentation-based object categorization Computer science Binary image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-space segmentation Pattern recognition Image segmentation Image texture Region growing Computer Science::Computer Vision and Pattern Recognition Computer vision Segmentation Artificial intelligence Range segmentation business |
| Zdroj: | Intelligent Vehicles Symposium |
| DOI: | 10.1109/ivs.2017.7995710 |
| Popis: | Advance Driver Assistance Systems (ADAS) have gained huge attention in the last decades. One of the fundamental steps of the video processing chain is the detection of areas where the car can drive through, i.e. free-space. In this paper we present an approach for the detection of free-space which is based on image segmentation and classification of the obtained image segments. For the image segmentation step we use several state-of-the-art approaches. The classification is done by a random-forest classifier trained to label the image segments with one of three geometric classes (ground, sky, vertical) based on spatial, color and shape features. Segments labelled as ground are used to detect the free-space area in front of the car. Furthermore, a comparison of the results obtained by using different segmentation approaches is provided. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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