A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression

Chenghan Li; Luca Longinotti; Federico Corradi; Tobi Delbruck

doi:10.23919/VLSIC.2019.8778050

A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression

Chenghan Li
, Luca Longinotti
, Federico Corradi
, Tobi Delbruck

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

57 Citaten (Scopus)

Samenvatting

This paper reports a 132 by 104 dynamic vision sensor (DVS) with 10μm pixel in a 65nm logic process and a synchronous address-event representation (SAER) readout capable of 180Meps throughput. The SAER architecture allows adjustable event frame rate control and supports pre-readout pixel-parallel noise and spatial redundancy suppression. The chip consumes 250μW with 100keps running at 1k event frames per second (efps), 3-5 times more power efficient than the prior art using normalized power metrics. The chip is aimed for low power IoT and real-time high-speed smart vision applications.

Originele taal-2	Engels
Titel	2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	C216-C217
Aantal pagina's	2
ISBN van elektronische versie	978-4-86348-720-8
ISBN van geprinte versie	978-1-7281-0914-5
DOI's	https://doi.org/10.23919/VLSIC.2019.8778050
Status	Gepubliceerd - 29 jul. 2019
Extern gepubliceerd	Ja
Evenement	2019 Symposium on VLSI Circuits - Kyoto, Japan, Kyoto, Japan Duur: 9 jun. 2019 → 14 jun. 2019

Congres

Congres	2019 Symposium on VLSI Circuits
Land/Regio	Japan
Stad	Kyoto
Periode	9/06/19 → 14/06/19

Toegang tot document

10.23919/VLSIC.2019.8778050

Andere bestanden en links

Link naar publicatie in Scopus

Citeer dit

Li, C., Longinotti, L., Corradi, F., & Delbruck, T. (2019). A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression. In 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers (blz. C216-C217). Artikel 8778050 Institute of Electrical and Electronics Engineers. https://doi.org/10.23919/VLSIC.2019.8778050

@inproceedings{95264428aa55435f8ba47f7d2faa076d,

title = "A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression",

abstract = "This paper reports a 132 by 104 dynamic vision sensor (DVS) with 10μm pixel in a 65nm logic process and a synchronous address-event representation (SAER) readout capable of 180Meps throughput. The SAER architecture allows adjustable event frame rate control and supports pre-readout pixel-parallel noise and spatial redundancy suppression. The chip consumes 250μW with 100keps running at 1k event frames per second (efps), 3-5 times more power efficient than the prior art using normalized power metrics. The chip is aimed for low power IoT and real-time high-speed smart vision applications.",

keywords = "Voltage control, Redundancy, Authorization, Vision sensors, Throughput, Art, Spatiotemporal phenomena, vision sensor, event-based, IoT, neuromorphic",

author = "Chenghan Li and Luca Longinotti and Federico Corradi and Tobi Delbruck",

year = "2019",

month = jul,

day = "29",

doi = "10.23919/VLSIC.2019.8778050",

language = "English",

isbn = "978-1-7281-0914-5",

pages = "C216--C217",

booktitle = "2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "33rd Symposium on VLSI Circuits, VLSI Circuits 2019 ; Conference date: 09-06-2019 Through 14-06-2019",

}

Li, C, Longinotti, L, Corradi, F & Delbruck, T 2019, A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression. in 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers., 8778050, Institute of Electrical and Electronics Engineers, blz. C216-C217, 2019 Symposium on VLSI Circuits, Kyoto, Japan, 9/06/19. https://doi.org/10.23919/VLSIC.2019.8778050

A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression. / Li, Chenghan; Longinotti, Luca; Corradi, Federico et al.
2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers. Institute of Electrical and Electronics Engineers, 2019. blz. C216-C217 8778050.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression

AU - Li, Chenghan

AU - Longinotti, Luca

AU - Corradi, Federico

AU - Delbruck, Tobi

PY - 2019/7/29

Y1 - 2019/7/29

N2 - This paper reports a 132 by 104 dynamic vision sensor (DVS) with 10μm pixel in a 65nm logic process and a synchronous address-event representation (SAER) readout capable of 180Meps throughput. The SAER architecture allows adjustable event frame rate control and supports pre-readout pixel-parallel noise and spatial redundancy suppression. The chip consumes 250μW with 100keps running at 1k event frames per second (efps), 3-5 times more power efficient than the prior art using normalized power metrics. The chip is aimed for low power IoT and real-time high-speed smart vision applications.

AB - This paper reports a 132 by 104 dynamic vision sensor (DVS) with 10μm pixel in a 65nm logic process and a synchronous address-event representation (SAER) readout capable of 180Meps throughput. The SAER architecture allows adjustable event frame rate control and supports pre-readout pixel-parallel noise and spatial redundancy suppression. The chip consumes 250μW with 100keps running at 1k event frames per second (efps), 3-5 times more power efficient than the prior art using normalized power metrics. The chip is aimed for low power IoT and real-time high-speed smart vision applications.

KW - Voltage control

KW - Redundancy

KW - Authorization

KW - Vision sensors

KW - Throughput

KW - Art

KW - Spatiotemporal phenomena

KW - vision sensor

KW - event-based

KW - IoT

KW - neuromorphic

UR - https://www.scopus.com/pages/publications/85073915113

U2 - 10.23919/VLSIC.2019.8778050

DO - 10.23919/VLSIC.2019.8778050

M3 - Conference contribution

SN - 978-1-7281-0914-5

SP - C216-C217

BT - 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers

PB - Institute of Electrical and Electronics Engineers

T2 - 33rd Symposium on VLSI Circuits, VLSI Circuits 2019

Y2 - 9 June 2019 through 14 June 2019

ER -

A 132 by 104 10μm-Pixel 250μW 1kefps Dynamic Vision Sensor with Pixel-Parallel Noise and Spatial Redundancy Suppression

Samenvatting

Congres

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit