Division of Signal Processing and Electronic Systems, Institute of Automation and Robotics, Poznań University of Technology, Jana Pawła 24, 60-965 Poznań, Poland.
Sensors (Basel). 2021 Jan 19;21(2):653. doi: 10.3390/s21020653.
In this paper we present a highly efficient coding procedure, specially designed and dedicated to operate with high dynamic range (HDR) RCCC (red, clear, clear, clear) image sensors used mainly in advanced driver-assistance systems (ADAS) and autonomous driving systems (ADS). The coding procedure can be used for a lossless reduction of data volume under developing and testing of video processing algorithms, e.g., in software in-the-loop (SiL) or hardware in-the-loop (HiL) conditions. Therefore, it was designed to achieve both: the state-of-the-art compression ratios and real-time compression feasibility. In tests we utilized FFV1 lossless codec and proved efficiency of up to 81 fps (frames per second) for compression and 87 fps for decompression performed on a single Intel i7 CPU.
在本文中，我们提出了一种高效的编码程序，专门设计用于处理主要用于先进驾驶辅助系统 (ADAS) 和自动驾驶系统 (ADS) 的高动态范围 (HDR) RCCC（红、清、清、清）图像传感器。该编码程序可用于在视频处理算法的开发和测试中无损减少数据量，例如在软件在环 (SiL) 或硬件在环 (HiL) 条件下。因此，它旨在实现以下两个目标：最先进的压缩比和实时压缩可行性。在测试中，我们利用了 FFV1 无损编解码器，并证明了在单个 Intel i7 CPU 上进行压缩时的效率高达 81 fps（每秒帧数），进行解压缩时的效率高达 87 fps。
