Software solution stack for data transfer on a frame grabber platform

Ivan Benke, Bože Eugen Marković, Ivan Pavlović, M. Milosevic, R. Grbić
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引用次数: 3

Abstract

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.
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帧采集平台上数据传输的软件解决方案栈
随着汽车工业的发展,对全自动驾驶汽车的开发提出了更高的要求。这种车辆配备了用于监测周围环境的传感器和摄像头。然后,从这些传感器接收到的数据在车辆的嵌入式系统中进行处理,该系统包含有助于驾驶员驾驶过程的算法,是迈向全自动驾驶汽车的一步。由于问题的复杂性,这些算法通常基于机器学习方法,因此需要大量的数据才能成功训练。用于训练的数据主要是实际交通情况的视频内容。为了记录视频内容,需要专门的硬件和配套的软件。本文主要针对现有的AMV抓取器硬件板进行软件开发。开发了整个软件堆栈,从直接控制硬件的低级应用程序,通过设备驱动程序实现板与PC之间的通信,再到允许用户间接控制硬件的PC应用程序,即向板发送命令以开始或停止记录。PC应用程序还用于从电路板接收数据并将其存储在PC的非易失性存储器上。最后,进行测量以显示系统的整体性能。
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