Parking a vision-guided automobile vehicle

A. Driss, V. Rodrigues, P. Cohens
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引用次数: 3

Abstract

This paper presents a neural-network solution to the problem of parking of a vision-guided automobile vehicle. Using training experiments with 3-D parking profiles extracted from a sequence of images, the vehicle learns and generalizes its behavior, when recognizing free parking slots and manoeuvering inside a parking slot. Using a modular set of functions, implemented by neural networks trained in simulated environments, the vehicle accomplishes parking tasks in various parking situations.<>
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停放一辆视觉引导汽车
本文提出了一种视觉引导汽车停车问题的神经网络解决方案。利用从一系列图像中提取的三维停车轮廓的训练实验,车辆在识别空闲停车位和在停车位内操纵时学习并概括其行为。通过在模拟环境中训练的神经网络实现的模块化功能集,车辆可以在各种停车情况下完成停车任务
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