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

^*Korrespondierende/r Autor/-in für diese Arbeit

Research Center Hagenberg

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

8 Zitate (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).

Originalsprache	Englisch
Titel	Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
Seiten	624-631
Seitenumfang	8
Auflage	PART 1
DOIs	https://doi.org/10.1007/978-3-642-27549-4_80
Publikationsstatus	Veröffentlicht - 2012
Veranstaltung	13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spanien Dauer: 6 Feb. 2011 → 11 Feb. 2011 http://www.iuctc.ulpgc.es/spain/eurocast2011/

Publikationsreihe

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

Konferenz

Konferenz	13th International Conference on Computer Aided Systems Theory, Eurocast 2011
Land/Gebiet	Spanien
Ort	Las Palmas de Gran Canaria
Zeitraum	06.02.2011 → 11.02.2011
Internetadresse	http://www.iuctc.ulpgc.es/spain/eurocast2011/

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

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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 Aufl., S. 624-631). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6927 LNCS, Nr. 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. Aufl. 2012. S. 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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title = "Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware",

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).",

keywords = "Address-Event-Representation, FPGA, Silicon Retina, Stereo Vision",

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

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doi = "10.1007/978-3-642-27549-4\_80",

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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 Aufl., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nr. PART 1, Bd. 6927 LNCS, S. 624-631, 13th International Conference on Computer Aided Systems Theory, Eurocast 2011, Las Palmas de Gran Canaria, Spanien, 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. Aufl. 2012. S. 624-631 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6927 LNCS, Nr. PART 1).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Stereo-vision algorithm based on bio-inspired silicon retinas for implementation in hardware

AU - Eibensteiner, Florian

AU - Kogler, Jürgen

AU - Sulzbachner, Christoph

AU - Scharinger, Josef

PY - 2012

Y1 - 2012

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).

KW - Address-Event-Representation

KW - FPGA

KW - Silicon Retina

KW - Stereo Vision

UR - https://www.scopus.com/pages/publications/84856898438

U2 - 10.1007/978-3-642-27549-4_80

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

M3 - Conference contribution

AN - SCOPUS:84856898438

SN - 9783642275487

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 624

EP - 631

BT - Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers

T2 - 13th International Conference on Computer Aided Systems Theory, Eurocast 2011

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 Aufl. 2012. S. 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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