A Survey about Intelligent Solutions for Autonomous Vehicles based on FPGA

Ashraf Kasem, Ahmad Reda, J. Vásárhelyi, A. Bouzid
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引用次数: 1

Abstract

Abstract Safe driving and reducing the number of accidents victims have been the main motivations for researchers and automotive companies for decades. Today, humanity is very close to make the old dream of fully autonomous vehicles a reality, thanks to the rapid spread of AI (artificial intelligence) and the evolution of semiconductor technologies. But the real problem here is the increasing demand for computational power and that of course will increase power requirements, hence it will not be suitable for autonomous driving applications. GPU is not suitable for solving this problem due to its power consumption as well as heat generation. On the other hand, CPU also does not satisfy the performance requirements. For the above condition, FPGA (Field Programmable Gate Array) has drawn attention as a hardware accelerator since it features high performance with low power consumption. This paper reviews the common solutions involving artificial intelligence implemented on FPGA for autonomous vehicle applications. Research, development, and current trends related to the topic are emphasized.
基于FPGA的自动驾驶汽车智能解决方案综述
几十年来,安全驾驶和减少事故受害者数量一直是研究人员和汽车公司的主要动机。今天,由于人工智能(AI)的迅速普及和半导体技术的发展,人类非常接近实现全自动驾驶汽车的古老梦想。但真正的问题是对计算能力的需求不断增加,这当然会增加对功率的需求,因此它不适合自动驾驶应用。GPU不适合解决这个问题,因为它的功耗和热量的产生。另一方面,CPU也不能满足性能要求。针对上述情况,FPGA (Field Programmable Gate Array,现场可编程门阵列)作为硬件加速器以其高性能、低功耗的特点而备受关注。本文综述了在FPGA上实现人工智能的自动驾驶汽车应用的常见解决方案。研究,开发和当前趋势相关的主题强调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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