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Fast Event-based Double Integral for Real-time Robotics

  • Shijie Lin
  • , Yingqiang Zhang
  • , Dongyue Huang
  • , Bin Zhou
  • , Xiaowei Luo
  • , Jia Pan*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Motion deblurring is a critical ill-posed problem that is important in many vision-based robotics applications. The recently proposed event-based double integral (EDI) provides a theoretical framework for solving the deblurring prob-lem with the event camera and generating clear images at high frame-rate. However, the original EDI is mainly designed for offline computation and does not support real-time requirement in many robotics applications. In this paper, we propose the fast EDI, an efficient implementation of EDI that can achieve real-time online computation on single-core CPU devices, which is common for physical robotic platforms used in practice. In experiments, our method can handle event rates at as high as 13 million event per second in a wide variety of challenging lighting conditions. We demonstrate the benefit on multiple downstream real-time applications, including localization, vi-sual tag detection, and feature matching. © 2023 IEEE.
Original languageEnglish
Title of host publication 2023 IEEE International Conference on Robotics and Automation (ICRA)
PublisherIEEE
Pages796-803
ISBN (Electronic)979-8-3503-2365-8
DOIs
Publication statusPublished - 2023
Event40th IEEE International Conference on Robotics and Automation (ICRA 2023) - ExCeL London, London, United Kingdom
Duration: 29 May 20232 Jun 2023
https://www.icra2023.org/

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2023-May
ISSN (Print)1050-4729

Conference

Conference40th IEEE International Conference on Robotics and Automation (ICRA 2023)
Abbreviated titleICRA2023
PlaceUnited Kingdom
CityLondon
Period29/05/232/06/23
Internet address

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