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Suitability of Various Lidar and Radar Sensors for Application in Robotics: A Measurable Capability Comparison

Authors :
Gim, Haeyeon
Baek, Seungmin
Park, Jeongki
Lee, Hoyong
Sung, Chiwon
Kim, Kyung-Tae
Han, Soohee
Source :
IEEE Robotics & Automation Magazine; September 2023, Vol. 30 Issue: 3 p28-43, 16p
Publication Year :
2023

Abstract

Lidar and radar sensors are widely used to obtain depth information for various applications in the field of robotics, such as navigation <xref ref-type="bibr" rid="ref1">[1]</xref>, collision avoidance <xref ref-type="bibr" rid="ref2">[2]</xref>, surveillance <xref ref-type="bibr" rid="ref3">[3]</xref>, and map generation <xref ref-type="bibr" rid="ref4">[4]</xref>. These two sensors are becoming increasingly popular as perception systems for autonomous mobile robots. However, as a result of their versatility and popularity, lidar and radar sensors come in a variety of specifications, sizes, and prices. Consequently, it has become essential to quantitatively evaluate these two sensors from various situational perspectives. This is required for a comprehensive selection of the most appropriate sensors or combinations thereof for the target applications.

Details

Language :
English
ISSN :
10709932 and 1558223X
Volume :
30
Issue :
3
Database :
Supplemental Index
Journal :
IEEE Robotics & Automation Magazine
Publication Type :
Periodical
Accession number :
ejs64082053
Full Text :
https://doi.org/10.1109/MRA.2022.3188213