神经网络在自主物体运动预测中的应用

2019 Systems of Signals Generating and Processing in the Field of on Board Communications Pub Date : 2019-03-01 DOI:10.1109/SOSG.2019.8706752

Z. V. Ilyichenkova, S. M. Ivanova, A. I. Volkov, A. Y. Ermakova

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引用次数: 6

摘要

本文研究了利用神经网络选择自主运输物体的轨迹作为其控制系统的一部分的问题。使用来自全球和当地传感器的环境数据。提出了一种神经网络来预测其他道路使用者的运动，以保证机动的安全性。提出了一种表征移动成本的函数最小化方法。这使得控制系统可以实时工作。

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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The Usage of Neural Networks for Motion Prediction of Autonomous Objects

The problem of using neural networks to select the trajectory of an autonomous transport object as part of its control system is considered in this article. Environmental data from global and local sensors are used. A neural network is proposed to predict the movement of other road users to ensure the safety of the maneuver. A method for minimizing the functional characterizing the costs of movement is proposed. This allows the control system to work in true time.

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2019 Systems of Signals Generating and Processing in the Field of on Board Communications

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