Review and design of environmental smart detector for autonomous vehicle in urban traffic

Q4 Engineering
E. N. Budisusila, S. Prasetyowati, B. Suprapto, Z. Nawawi
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引用次数: 2

Abstract

This paper discusses the design and proposed system of autonomous vehicle’s detector using ultrasonic array, including the reviews of previous studies. Due to the autonomous, the vehicle has to know its environment of front, rear or side positions. The design places three sensors in front, four sensors in left and right side, two sensor in rear. The front and rear sensors can adapt to vehicle speed in order to increase or decrease range detection to avoid collision. All sensors are controlled by Arduino microcontroller and artificial neural network algorithm. In this research, two types of MaxSonar ultrasonic sensor are used due to its long distance range. This system is being implemented to urban traffic in about 40 km/h maximum speed.This paper discusses the design and proposed system of autonomous vehicle’s detector using ultrasonic array, including the reviews of previous studies. Due to the autonomous, the vehicle has to know its environment of front, rear or side positions. The design places three sensors in front, four sensors in left and right side, two sensor in rear. The front and rear sensors can adapt to vehicle speed in order to increase or decrease range detection to avoid collision. All sensors are controlled by Arduino microcontroller and artificial neural network algorithm. In this research, two types of MaxSonar ultrasonic sensor are used due to its long distance range. This system is being implemented to urban traffic in about 40 km/h maximum speed.
城市交通自动驾驶车辆环境智能探测器综述与设计
本文讨论了基于超声阵列的自动驾驶汽车检测系统的设计和提出,并对以往的研究进行了综述。由于自动驾驶,车辆必须了解其前方,后方或侧面位置的环境。该设计将三个传感器放在前面,四个传感器在左右两侧,两个传感器在后面。前后传感器可根据车速变化,增加或减少距离检测,避免碰撞。所有传感器由Arduino单片机和人工神经网络算法控制。在本研究中,由于MaxSonar超声波传感器的距离较远,我们使用了两种类型的MaxSonar超声波传感器。该系统正以最高时速约40公里的速度在城市交通中实施。本文讨论了基于超声阵列的自动驾驶汽车检测系统的设计和提出,并对以往的研究进行了综述。由于自动驾驶,车辆必须了解其前方,后方或侧面位置的环境。该设计将三个传感器放在前面,四个传感器在左右两侧,两个传感器在后面。前后传感器可根据车速变化,增加或减少距离检测,避免碰撞。所有传感器由Arduino单片机和人工神经网络算法控制。在本研究中,由于MaxSonar超声波传感器的距离较远,我们使用了两种类型的MaxSonar超声波传感器。该系统正以最高时速约40公里的速度在城市交通中实施。
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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来源期刊
Journal of Electrical and Electronics Engineering
Journal of Electrical and Electronics Engineering Engineering-Electrical and Electronic Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
审稿时长
16 weeks
期刊介绍: Journal of Electrical and Electronics Engineering is a scientific interdisciplinary, application-oriented publication that offer to the researchers and to the PhD students the possibility to disseminate their novel and original scientific and research contributions in the field of electrical and electronics engineering. The articles are reviewed by professionals and the selection of the papers is based only on the quality of their content and following the next criteria: the papers presents the research results of the authors, the papers / the content of the papers have not been submitted or published elsewhere, the paper must be written in English, as well as the fact that the papers should include in the reference list papers already published in recent years in the Journal of Electrical and Electronics Engineering that present similar research results. The topics and instructions for authors of this journal can be found to the appropiate sections.
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