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引用次数: 0
摘要
本文介绍了传感器立方体,这是一个用于传感器数据处理实践学习的开源硬件和软件系统。该系统包含各种传感器,如摄像头、GNSS 和惯性传感器,用于教授传感器数据分析和处理。该传感器系统无需特殊驱动程序即可与流行的操作系统配合使用,数据格式为人类可读格式。因此,所有传感器数据均可通过 Python 或 C++ 代码轻松访问,无需学习额外的框架。此外,用于处理传感器数据的硬件设计、固件和代码示例都是开源的。
Sensor Cube – A Tool for Hands-on Learning of Sensor Data Processing
This paper describes the Sensor Cube, an open-source hardware and software system for hands-on learning of sensor data processing. Various sensors, such as camera, GNSS, and inertial sensors, are included to teach sensor data analysis and processing. The sensor system is designed to work with popular operating systems without special drivers, and the data format is human-readable. Therefore, all sensor data is easily accessible through Python or C++ code without the need to learn an additional framework. In addition, the hardware design, firmware, and code examples for working with the sensor data are available as open-source.
期刊介绍:
All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.