Publication:

Low-latency event-based visual odometry

Date

Date

Date
2014
Conference or Workshop Item
Published version

Citations

Citation copied

Censi, A., & Scaramuzza, D. (2014). Low-latency event-based visual odometry. Proceedings of the IEEE International Conference on Robotics and Automation, 703–710. https://doi.org/10.1109/ICRA.2014.6906931

Abstract

Abstract

Abstract

The agility of a robotic system is ultimately limited by the speed of its processing pipeline. The use of a Dynamic Vision Sensors (DVS), a sensor producing asynchronous events as luminance changes are perceived by its pixels, makes it possible to have a sensing pipeline of a theoretical latency of a few microseconds. However, several challenges must be overcome: a DVS does not provide the grayscale value but only changes in the luminance; and because the output is composed by a sequence of events, traditional frame-based visual odome

Metrics

Downloads

236 since deposited on 2016-08-12
Acq. date: 2025-11-08

Views

154 since deposited on 2016-08-12
Acq. date: 2025-11-08

Additional indexing

Creators (Authors)

  • Censi, Andrea
    affiliation.icon.alt
  • Scaramuzza, Davide
    affiliation.icon.alt

Event Title

Event Title

Event Title
IEEE International Conference on Robotics and Automation (ICRA)

Event Location

Event Location

Event Location
Hong Kong

Event Start Date

Event Start Date

Event Start Date
2014-05-31

Event End Date

Event End Date

Event End Date
2014-06-07

Page Range

Page Range

Page Range
703

Page end

Page end

Page end
710

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Date available

Date available

Date available
2016-08-12

Series Name

Series Name

Series Name
Proceedings of the IEEE International Conference on Robotics and Automation

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1050-4729

OA Status

OA Status

OA Status
Green

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:10213

Metrics

Downloads

236 since deposited on 2016-08-12
Acq. date: 2025-11-08

Views

154 since deposited on 2016-08-12
Acq. date: 2025-11-08

Citations

Citation copied

Censi, A., & Scaramuzza, D. (2014). Low-latency event-based visual odometry. Proceedings of the IEEE International Conference on Robotics and Automation, 703–710. https://doi.org/10.1109/ICRA.2014.6906931

Green Open Access
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Files
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Files

Files

Files
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