智能自动驾驶

Popa Alexandra, Toderean Bianca, Toderean Liana-Maria, Ulici Ioana-Anamaria, Rusu-Both Roxana, Miclea Liviu-Cristian
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引用次数: 0

摘要

机器学习是一项新兴技术,可用于多个领域,包括自动驾驶。本研究以1:10比例的汽车部件为例,对这种方法进行了探讨,提供了在自动驾驶汽车领域全面实施人工神经网络的性能和进一步的思考。从现场录音中截取的帧通过人工神经网络并返回一个转向角度。尽管所使用的部件规格有限,但人工神经网络证明是成功的,在保持汽车在轨道上、停车和保持平稳行驶方面具有相当高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Autonomous Driving
Machine learning is an emerging technology that can be used in multiple domains, including autonomous driving. This approach is explored in the present study case of 1:10 scale car components, delivering performances and further thoughts on full-scale implementation of an artificial neural network in the area of self-driving automobiles. The frames taken from live recording pass through an artificial neural network and return a steering angle. Even though the components used had limited specifications, the artificial neural network proved successful, with quite high accuracy in keeping the car on track, parking and maintaining smooth drive.
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