Research on Time Synchronization and Spatial Calibration Algorithms of Radar and Camera

Abstract The intelligent connected vehicle can detect 360° full coverage around the vehicle by installing multiple radars and cameras. However, the sampling frequency of each sensor is different and each sensor outputs the target motion state information based on its coordinate system. the accurate...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2428; no. 1; pp. 12044 - 12052
Main Authors Song, Shiping, Dong, Changqing, Qin, Kongjian, Hou, Xintian, Zhao, Xiong, Tian, Xiaodi, Wang, HuaSen
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.02.2023
Subjects
Algorithms
Calibration
Cameras
Coordinates
Curve fitting
Data integration
Multisensor fusion
Physics
Position sensing
Radar
Spatial calibration
Spline functions
Time synchronization
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Summary:Abstract The intelligent connected vehicle can detect 360° full coverage around the vehicle by installing multiple radars and cameras. However, the sampling frequency of each sensor is different and each sensor outputs the target motion state information based on its coordinate system. the accurate and rapid realization of time synchronization and spatial position alignment between sensors is very important for multi-sensor data fusion. This paper presents a method of radar and camera time synchronization based on least squares cubic spline curve fitting. Based on time synchronization, a fast space joint calibration method of radar and camera is proposed based on the longitudinal symmetry plane of the vehicle. The validation data of the target object show that the proposed algorithm is accurate and simple.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2428/1/012044