Fusion of Different Sensors and Algorithms for Segmentation
- In this article we present a system for coupling different base algorithms and sensors for segmentation. Three different solutions for image segmentation by fusion are described, compared and results are shown. The fusion of base algorithms with colorinformation and a sensor fusion process of an optical and a radar sensor including a feedback over time is realized. A feature-in decision-out fusion process is solved. For the fusion process a multi layer perceptron (MLP) with one hidden layer is used as a coupling net. The activity of the output neuron represents the membership of each pixel to an initial segment.
Author: | Uwe Handmann, Gesa Lorenz, Thomas Schnitger, Werner von Seelen |
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URN: | urn:nbn:de:hbz:1393-opus4-5182 |
URL: | http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=4A063A9C25E44B3FF2C8915D9FDE5718?doi=10.1.1.28.7282&rep=rep1&type=pdf |
URL: | http://www.handmann.net/pdf/IV-HanEtAl1998a.pdf |
Parent Title (English): | IEEE International Conference on Intelligent Vehicles |
Place of publication: | Stuttgart |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 1998 |
Contributing Corporation: | IEEE |
Release Date: | 2019/07/03 |
Tag: | INTELLIGENT VEHICLES |
Volume: | 1998 |
Page Number: | 6 |
First Page: | 499 |
Last Page: | 504 |
Institutes: | Fachbereich 1 - Institut Informatik |
DDC class: | 000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Licence (German): | ![]() |