Object Detection and Distance Measurement in Teleoperation

Ailing Zhang; Meng Chu; Zixin Chen; Fuqiang Zhou; Shuo Gao

doi:10.3390/machines10050402

Object Detection and Distance Measurement in Teleoperation

Ailing Zhang
, Meng Chu
, Zixin Chen
, Fuqiang Zhou
, Shuo Gao^*

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University

Research output: Contribution to journal › Review article › peer-review

4 Scopus citations

Abstract

In recent years, teleoperation has experienced rapid development. Numerous teleoperation applications in diverse areas have been reported. Among all teleoperation-related components, computer vision (CV) is treated as one of the must-have technologies, because it allows users to observe remote scenarios. In addition, CV can further help the user to identify and track the desired targets from complex scenes. It has been proven that efficient CV methods can significantly improve the operation accuracy and relieve user’s physical and mental fatigue. Therefore, furthering understanding about CV techniques and reviewing the latest research outcomes is necessary for teleoperation designers. In this context, this review article was composed.

Original language	English
Article number	402
Journal	Machines
Volume	10
Issue number	5
DOIs	https://doi.org/10.3390/machines10050402
State	Published - May 2022

Keywords

computer vision
distance measurement
object detection
teleoperation

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10.3390/machines10050402

Cite this

@article{d9ef496728d14cdfbc25717edf9da4cb,

title = "Object Detection and Distance Measurement in Teleoperation",

abstract = "In recent years, teleoperation has experienced rapid development. Numerous teleoperation applications in diverse areas have been reported. Among all teleoperation-related components, computer vision (CV) is treated as one of the must-have technologies, because it allows users to observe remote scenarios. In addition, CV can further help the user to identify and track the desired targets from complex scenes. It has been proven that efficient CV methods can significantly improve the operation accuracy and relieve user{\textquoteright}s physical and mental fatigue. Therefore, furthering understanding about CV techniques and reviewing the latest research outcomes is necessary for teleoperation designers. In this context, this review article was composed.",

keywords = "computer vision, distance measurement, object detection, teleoperation",

author = "Ailing Zhang and Meng Chu and Zixin Chen and Fuqiang Zhou and Shuo Gao",

note = "Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = may,

doi = "10.3390/machines10050402",

language = "英语",

volume = "10",

journal = "Machines",

issn = "2075-1702",

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TY - JOUR

T1 - Object Detection and Distance Measurement in Teleoperation

AU - Zhang, Ailing

AU - Chu, Meng

AU - Chen, Zixin

AU - Zhou, Fuqiang

AU - Gao, Shuo

PY - 2022/5

Y1 - 2022/5

N2 - In recent years, teleoperation has experienced rapid development. Numerous teleoperation applications in diverse areas have been reported. Among all teleoperation-related components, computer vision (CV) is treated as one of the must-have technologies, because it allows users to observe remote scenarios. In addition, CV can further help the user to identify and track the desired targets from complex scenes. It has been proven that efficient CV methods can significantly improve the operation accuracy and relieve user’s physical and mental fatigue. Therefore, furthering understanding about CV techniques and reviewing the latest research outcomes is necessary for teleoperation designers. In this context, this review article was composed.

AB - In recent years, teleoperation has experienced rapid development. Numerous teleoperation applications in diverse areas have been reported. Among all teleoperation-related components, computer vision (CV) is treated as one of the must-have technologies, because it allows users to observe remote scenarios. In addition, CV can further help the user to identify and track the desired targets from complex scenes. It has been proven that efficient CV methods can significantly improve the operation accuracy and relieve user’s physical and mental fatigue. Therefore, furthering understanding about CV techniques and reviewing the latest research outcomes is necessary for teleoperation designers. In this context, this review article was composed.

KW - computer vision

KW - distance measurement

KW - object detection

KW - teleoperation

UR - https://www.scopus.com/pages/publications/85131118061

U2 - 10.3390/machines10050402

DO - 10.3390/machines10050402

M3 - 文献综述

AN - SCOPUS:85131118061

SN - 2075-1702

VL - 10

JO - Machines

JF - Machines

IS - 5

M1 - 402

ER -

Object Detection and Distance Measurement in Teleoperation

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Keywords

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