Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor

arXiv:2403.00976v1 Announce Type: cross
Abstract: In robotics, motion capture systems have been widely used to measure the accuracy of localization algorithms. Moreover, this infrastructure can also be used for other computer vision tasks, such as the evaluation of Visual (-Inertial) SLAM dynamic initialization, multi-object tracking, or automatic annotation. Yet, to work optimally, these functionalities require having accurate and reliable spatial-temporal calibration parameters between the camera and the global pose sensor. In this study, we provide two novel solutions to estimate …

abstract accuracy algorithms annotation arxiv computer computer vision cs.cv cs.ro dynamic evaluation global infrastructure localization motion capture robotics sensor slam spatial systems tasks temporal tracking type vision visual work