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Software solution stack for data transfer on a frame grabber platform

机译:用于在图像采集卡平台上进行数据传输的软件解决方案堆栈

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With the progress of automotive industry arose a need for development of fully autonomous vehicles. Such vehicle is equipped with sensors and cameras designed for monitoring its surroundings. Data received from these sensors is then processed in the vehicle's embedded system which contains algorithms that help driver in a driving process and are a step towards a fully autonomous vehicle. Due to the problem complexity, these algorithms are usually based on machine learning methods and thus inherently require large amounts of data for successful training. Data used for training is mostly video content of situations from actual traffic. To record that video content specialized hardware and its accompanying software is needed. This paper focuses on developing software for existing AMV Grabber hardware board. Entire software stack was developed, from low-level application which controls the hardware directly, through device driver which enables communication between the board and PC, to PC application which enables users to control the hardware indirectly, i.e., to send commands to the board to start or stop recording. PC application is also used to receive data from the board and store it on non-volatile memory of the PC. Finally, measurements were done to display overall system performance.
机译:随着汽车工业的发展,需要开发全自动驾驶汽车。这种车辆配备有传感器和摄像头,用于监控其周围环境。从这些传感器接收到的数据然后在车辆的嵌入式系统中进行处理,该系统包含的算法可帮助驾驶员进行驾驶,这是向全自动驾驶汽车迈进的一步。由于问题的复杂性,这些算法通常基于机器学习方法,因此固有地需要大量数据才能成功进行训练。用于训练的数据主要是来自实际流量的情况的视频内容。为了记录该视频内容,需要专用的硬件及其随附的软件。本文着重于为现有AMV Grabber硬件板开发软件。开发了整个软件堆栈,从直接控制硬件的低层应用程序,通过使板与PC之间能够进行通信的设备驱动程序,到使用户能够间接控制硬件(即向板发送命令)的PC应用程序,都得到了开发。开始或停止录制。 PC应用程序还用于从板上接收数据并将其存储在PC的非易失性存储器中。最后,进行了测量以显示整体系统性能。

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