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Chapter

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Title

Hybrid Field of View Vision: From Biological Inspirations to Integrated Sensor Design

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Year of publication

2016

Chapter type

paper

Publication language

english

Abstract

EN In this article a hybrid field of view vision system employing both a catadioptric camera and a typical perspective-view camera is presented and evaluated. This configuration takes biological inspirations from the peripheral and foveal vision co-operation in animals and compensates the most important drawbacks of both camera types. To make the sensor self-contained and suitable for mobile robots lacking a powerful on-board controller the design is based on a recent generation single-board computer providing parallel processing by means of GPGPU. The software of our sensor permits to use it for quick detection of obstacles in the vicinity of the robot, and to measure distances using stereo vision.

Pages (from - to)

629 - 634

DOI

10.1109/MFI.2016.7849557

URL

https://ieeexplore.ieee.org/document/7849557

Book

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016) Kongresshaus Baden-Baden, Germany, Sep. 19-21, 2016

Presented on

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016, 19-21.09.2016, Baden-Baden, Germany

Publication indexed in

WoS (15)

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