Image-Free Positioning Tracking Scheme via Single Pixel Detection

Yuanjin Yu*, Zhaohua Yang, Wang Li, Hui Shao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

An image free positioning scheme using single pixel detection is proposed to improve the performance of positioning tracking. We use a bucket detector without spatial resolution to measure the light intensity, brings the merit of high sensitivity. The proposed scheme consist of the single pixel measuring step and positioning step. Firstly, we design the patterns of the digital mirror device and then get a sequence of measured scalar values. No image is reconstructed in this step. Secondly, by treating the vector of the bucket values as a virtual image, the image matching method is applied to get position of the object. This method significantly reduces sampling data in measuring process and complexity in matching process, which can be used for high-speed positioning tracking and image free guidance. Finally, a simulation case is performed to demonstrate the effectiveness. The results show the positioning tracking is achieved in a very low sampling rate.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
EditorsLiang Yan, Haibin Duan, Xiang Yu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1349-1357
Number of pages9
ISBN (Print)9789811581540
DOIs
Publication statusPublished - 2022
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2020 - Tianjin, China
Duration: 23 Oct 202025 Oct 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume644 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2020
Country/TerritoryChina
CityTianjin
Period23/10/2025/10/20

Keywords

  • Image-free positioning
  • Low sampling
  • Positioning tracking
  • Single pixel detection

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