Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware

Florian Eibensteiner; Jürgen Kogler; Christoph Sulzbachner; Josef Scharinger

doi:10.1007/978-3-642-27549-4_80

Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware

Florian Eibensteiner, Jürgen Kogler, Christoph Sulzbachner, Josef Scharinger

Research Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

In this paper, we propose a silicon-retina-based stereo vision system, used for pre-crash warning respectively side-impact detection applications in vehicles. The bio-inspired Silicon Retina sensor is a new kind of sensor, with a high temporal resolution of 1ms and a dynamic range of approx. 120dB. These type of imagers deliver data asynchronously and only when the intensity of the ambient light changes. Therefore, the amount of data that must be processed decreases significantly compared to standard CMOS or CCD imagers. The sensor uses an address-event representation (AER) protocol to transfer the event-triggered information. Concerning these special output characteristics, a novel approach regarding acquisition, storage, and stereo matching of the data were implemented. The concept of the algorithm is specifically targeted and optimized for an implementation in hardware, e.g. on a Field Programmable Gate Array (FPGA).

Original language	English
Title of host publication	Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
Pages	624-631
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-27549-4_80
Publication status	Published - 2012
Event	13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spain Duration: 6 Feb 2011 → 11 Feb 2011 http://www.iuctc.ulpgc.es/spain/eurocast2011/

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6927 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Computer Aided Systems Theory, Eurocast 2011
Country/Territory	Spain
City	Las Palmas de Gran Canaria
Period	06.02.2011 → 11.02.2011
Internet address	http://www.iuctc.ulpgc.es/spain/eurocast2011/

Keywords

Address-Event-Representation
FPGA
Silicon Retina
Stereo Vision

Access to Document

10.1007/978-3-642-27549-4_80

Cite this

Eibensteiner, F., Kogler, J., Sulzbachner, C., & Scharinger, J. (2012). Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware. In Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers (PART 1 ed., pp. 624-631). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6927 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-27549-4_80

Eibensteiner, Florian ; Kogler, Jürgen ; Sulzbachner, Christoph et al. / Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware. Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1. ed. 2012. pp. 624-631 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "In this paper, we propose a silicon-retina-based stereo vision system, used for pre-crash warning respectively side-impact detection applications in vehicles. The bio-inspired Silicon Retina sensor is a new kind of sensor, with a high temporal resolution of 1ms and a dynamic range of approx. 120dB. These type of imagers deliver data asynchronously and only when the intensity of the ambient light changes. Therefore, the amount of data that must be processed decreases significantly compared to standard CMOS or CCD imagers. The sensor uses an address-event representation (AER) protocol to transfer the event-triggered information. Concerning these special output characteristics, a novel approach regarding acquisition, storage, and stereo matching of the data were implemented. The concept of the algorithm is specifically targeted and optimized for an implementation in hardware, e.g. on a Field Programmable Gate Array (FPGA).",

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author = "Florian Eibensteiner and J{\"u}rgen Kogler and Christoph Sulzbachner and Josef Scharinger",

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Eibensteiner, F, Kogler, J, Sulzbachner, C & Scharinger, J 2012, Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware. in Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6927 LNCS, pp. 624-631, 13th International Conference on Computer Aided Systems Theory, Eurocast 2011, Las Palmas de Gran Canaria, Spain, 06.02.2011. https://doi.org/10.1007/978-3-642-27549-4_80

Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware. / Eibensteiner, Florian; Kogler, Jürgen; Sulzbachner, Christoph et al.
Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1. ed. 2012. p. 624-631 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6927 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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AU - Kogler, Jürgen

AU - Sulzbachner, Christoph

AU - Scharinger, Josef

PY - 2012

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N2 - In this paper, we propose a silicon-retina-based stereo vision system, used for pre-crash warning respectively side-impact detection applications in vehicles. The bio-inspired Silicon Retina sensor is a new kind of sensor, with a high temporal resolution of 1ms and a dynamic range of approx. 120dB. These type of imagers deliver data asynchronously and only when the intensity of the ambient light changes. Therefore, the amount of data that must be processed decreases significantly compared to standard CMOS or CCD imagers. The sensor uses an address-event representation (AER) protocol to transfer the event-triggered information. Concerning these special output characteristics, a novel approach regarding acquisition, storage, and stereo matching of the data were implemented. The concept of the algorithm is specifically targeted and optimized for an implementation in hardware, e.g. on a Field Programmable Gate Array (FPGA).

AB - In this paper, we propose a silicon-retina-based stereo vision system, used for pre-crash warning respectively side-impact detection applications in vehicles. The bio-inspired Silicon Retina sensor is a new kind of sensor, with a high temporal resolution of 1ms and a dynamic range of approx. 120dB. These type of imagers deliver data asynchronously and only when the intensity of the ambient light changes. Therefore, the amount of data that must be processed decreases significantly compared to standard CMOS or CCD imagers. The sensor uses an address-event representation (AER) protocol to transfer the event-triggered information. Concerning these special output characteristics, a novel approach regarding acquisition, storage, and stereo matching of the data were implemented. The concept of the algorithm is specifically targeted and optimized for an implementation in hardware, e.g. on a Field Programmable Gate Array (FPGA).

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Y2 - 6 February 2011 through 11 February 2011

ER -

Eibensteiner F, Kogler J, Sulzbachner C, Scharinger J. Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware. In Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers. PART 1 ed. 2012. p. 624-631. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-27549-4_80

Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware

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Keywords

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