Lane Following with a Duckiebot Vehicle using Visual Feedback

Oscar Castro, Axel Céspedes, Roosevelt Ubaldo, O. E. Ramos
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引用次数: 1

Abstract

The autonomy of a vehicle can be achieved by a proper use of the information acquired with the sensors. Real-sized autonomous vehicles are expensive to acquire and to test on; however, the main algorithms that are used in those cases are similar to the ones that can be used for smaller prototypes. Due to these budget constraints, this work uses the Duckiebot as a testbed to try different algorithms as a first step to achieve full autonomy. This paper presents a methodology to properly use visual feedback, with the information of the robot camera, in order to detect the lane of a circuit and to drive the robot accordingly.
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使用视觉反馈与Duckiebot车辆进行车道跟踪
通过正确使用传感器获取的信息,可以实现车辆的自动驾驶。实际尺寸的自动驾驶汽车购买和测试都很昂贵;然而,在这些情况下使用的主要算法与可用于较小原型的算法相似。由于这些预算限制,这项工作使用Duckiebot作为测试平台,尝试不同的算法,作为实现完全自主的第一步。本文提出了一种利用视觉反馈,结合机器人摄像头的信息,来检测线路的车道并据此驱动机器人的方法。
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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