Enhancing Real-Time Embedded System Education With Self-Driving Car Models

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Dheya Mustafa, Safaa Mahmoud Khabour, Intisar Ghazi Mustafeh
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引用次数: 0

Abstract

The self-driving car has been developing rapidly over the past decade, with increased attention from both academia and industry worldwide. Specialized research labs are equipped with vehicles fully loaded with cutting-edge technologies. Such labs are very expensive and not accessible to students in developing economies. This work proposes using self-driving car models to enhance real-time/embedded system education. We have built two experimental low-cost self-driving robotic systems designed specifically for the classroom within an educational context. Lego Mindstorms and Arduino platforms were used as they both offer vast teaching opportunities based on interdisciplinary project-based learning. The programming languages used are compatible with professional robotic programming languages. The goals of using the proposed models as autonomous cars were, on the one hand, to encourage students to gain hands-on experiences in the field of mobile robotics and, on the other, to teach senior students programming, problem-solving, real-time systems, and embedded systems. The models successfully attracted students and motivated them to be engaged in classroom activities. Using the proposed models, real-world autodrive features exposed to automated vehicles were implemented and validated.

Abstract Image

利用自动驾驶汽车模型加强实时嵌入式系统教育
过去十年来,自动驾驶汽车发展迅速,受到全球学术界和工业界的日益关注。专门的研究实验室配备了满载尖端技术的车辆。这些实验室非常昂贵,发展中经济体的学生无法使用。这项工作建议使用自动驾驶汽车模型来加强实时/嵌入式系统教育。我们建立了两个低成本的自驾车机器人实验系统,专门用于教育背景下的课堂教学。我们使用了乐高头脑风暴和 Arduino 平台,因为它们都提供了基于跨学科项目学习的大量教学机会。所使用的编程语言与专业机器人编程语言兼容。将所提议的模型用作自动驾驶汽车的目的,一方面是鼓励学生获得移动机器人领域的实践经验,另一方面是教授高年级学生编程、解决问题、实时系统和嵌入式系统。这些模型成功地吸引了学生,调动了他们参与课堂活动的积极性。利用所提出的模型,实现并验证了自动驾驶车辆在真实世界中的自动驾驶功能。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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