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Fast Angle Adaption of a MEMS-based LiDAR System

机译:基于MEMS的激光雷达系统的快速角度适应

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The amount of Advanced Driver-Assistance Systems (ADAS) in middle-class cars are increasing steadily. Next generation ADAS will take control in fully automated vehicles. Light Detection And Ranging (LiDAR) will be one of the key enablers for highly automated or even autonomous vehicles. The 1D Micro-Electro-Mechanical System (MEMS) Micro-Scanning LiDAR is able to detect obstacles in a predefined Field-of-View (FoV). Future ADAS applications will require to dynamically change FoVs as fast as possible (e.g. quickly switching between long-range narrow FoV and short-range wide FoV). In this paper we introduce a novel system architecture that enables fast angle adaption of a 1D MEMS Micro-Scanning LiDAR System. The system architecture was implemented in an FPGA prototype to prove its feasibility and to evaluate its performance.
机译:中产阶级汽车中的先进驾驶员援助系统(ADAS)的数量正在稳步增长。下一代ADA将在全自动车辆中控制。光检测和测距(LIDAR)将是高度自动化甚至自动车辆的关键推动因素之一。 1D微电机械系统(MEMS)微扫描利达能够检测预定义视野(FOV)中的障碍物。未来的ADAS应用程序将需要尽可能快地动态地改变FOV(例如,在远程窄FOV和短程之间快速切换)。在本文中,我们介绍了一种新颖的系统架构,其能够快速地适应1D MEMS微扫描激光雷达系统。系统架构在FPGA原型中实现,以证明其可行性并评估其性能。

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