2022
DOI: 10.48550/arxiv.2205.14087
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Abstract: Accurate sensor calibration is a prerequisite for multi-sensor perception and localization systems for autonomous vehicles. The intrinsic parameter calibration of the sensor is to obtain the mapping relationship inside the sensor, and the extrinsic parameter calibration is to transform two or more sensors into a unified spatial coordinate system. Most sensors need to be calibrated after installation to ensure the accuracy of sensor measurements. To this end, we present OpenCalib, a calibration toolbox that con… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 36 publications
0
2
0
Order By: Relevance
“…For this task, camera calibration methods are proposed with a specially designed board. Although available calibration methods have obtained satisfying results (Yan et al, 2022), they still require advantageous calibration conditions. (1) Intact calibration board measurement is required for detecting the board (Bradski, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…For this task, camera calibration methods are proposed with a specially designed board. Although available calibration methods have obtained satisfying results (Yan et al, 2022), they still require advantageous calibration conditions. (1) Intact calibration board measurement is required for detecting the board (Bradski, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…Since there are few open-source toolboxes for sensor calibration, we propose OpenCalib, a multi-sensor calibration toolbox for autonomous driving. If you want more details about OpenCalib, please refer to the paper [1].…”
Section: Introductionmentioning
confidence: 99%