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Joint calibration of a multimodal sensor system for autonomous vehicles
ID
Muhovič, Jon Natanael
(
Author
),
ID
Perš, Janez
(
Author
)
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https://www.mdpi.com/1424-8220/23/12/5676
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Abstract
Multimodal sensor systems require precise calibration if they are to be used in the field. Due to the difficulty of obtaining the corresponding features from different modalities, the calibration of such systems is an open problem. We present a systematic approach for calibrating a set of cameras with different modalities (RGB, thermal, polarization, and dual-spectrum near infrared) with regard to a LiDAR sensor using a planar calibration target. Firstly, a method for calibrating a single camera with regard to the LiDAR sensor is proposed. The method is usable with any modality, as long as the calibration pattern is detected. A methodology for establishing a parallax-aware pixel mapping between different camera modalities is then presented. Such a mapping can then be used to transfer annotations, features, and results between highly differing camera modalities to facilitate feature extraction and deep detection and segmentation methods.
Language:
English
Keywords:
USV
,
calibration
,
multimodal system
,
annotation
,
autonomous vehicle
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FE - Faculty of Electrical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
Str. 1-22
Numbering:
Vol. 23, iss. 12, [article no.] 5676
PID:
20.500.12556/RUL-148255
UDC:
681.586: 621.713.3
ISSN on article:
1424-8220
DOI:
10.3390/s23125676
COBISS.SI-ID:
160796163
Publication date in RUL:
07.08.2023
Views:
225
Downloads:
25
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Record is a part of a journal
Title:
Sensors
Shortened title:
Sensors
Publisher:
MDPI
ISSN:
1424-8220
COBISS.SI-ID:
10176278
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
USV
,
kalibracija
,
večmodalni sistem
,
anotacije
,
avtonomno plovilo
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
J2-2506-2020
Name:
Adaptivne globoke metode zaznavanja za avtonomna plovila
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0095-2020
Name:
Vzporedni in porazdeljeni sistemi
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