基于FPGA的自动驾驶汽车异构传感器数据融合方法

D. Créno, B. Senouci, Rafik Zitouni
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引用次数: 0

摘要

自动驾驶汽车的新时代被认为是网络物理系统研究的热点之一。它使用了许多传感器和功能来提高车辆的感知能力。决策者提供了一种灵活的方式来定义车辆行为,而车队驾驶模式是探索更多驾驶相关问题的一个重要用例。本文概述了正在进行的FPGA原型设计工作,以提高决策过程的整体速度,并使车队能够以更高的速度安全行驶。我们提出了一种使用异构传感器(激光雷达和相机)的数据融合方法。我们的方法是基于FPGA的方法来加快处理时间。已经建立了一个原型来探索新的问题和解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA based approach for Heterogenous Sensors Data Fusion in Autonomous Vehicles
The new era of autonomous vehicles is considered as one of hot topics in Cyber Physical Systems exploration. It uses many sensors and functions to improve vehicle perception. The decision maker offers a flexible way to define the vehicle behaviour whereas the convoy driving mode is one important use case to explore more driving related issues. This paper reports an overview of on-going work on FPGA prototyping to improve the overall speed of the decision-making process and enable the convoy to drive at the higher speed safely. We present a data fusion methodology using heterogeneous Sensors (Lidar & Camera). Our methodology is based on an FPGA approach to speed up the processing time. A prototype has been built to explore new issues and solutions.
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