Path Planning System for Smart Cars Used in Education

Babak Mohajeri; Timo Nyberg; Jiehan Zhou; Guangyu Xiong; Yanfu  Tian; Niu Lulu

doi:10.1109/ICIEA48937.2020.9248372

Path Planning System for Smart Cars Used in Education

Babak Mohajeri, Timo Nyberg, Jiehan Zhou, Guangyu Xiong^*, Yanfu Tian, Niu Lulu

^*Corresponding author for this work

Department of Industrial Engineering and Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

122 Downloads (Pure)

Abstract

In this paper, we developed a path planning system for smart cars for teaching electronic engineering or computer science, which consists of the interactive platform for smart cars development and path planning. Designed by Visual C++, the interactive platform can call Matlab engine, allows users to choose path optimization algorithms such as genetic or A-star(A*) algorithm for different tasks and control smart cars through serial ports. The simulation and practice demonstrate that our interactive platform can help learners to plan paths and control intelligent vehicles without specially designing a user interface.

Original language	English
Title of host publication	Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Publisher	IEEE
Pages	229-234
Number of pages	6
ISBN (Electronic)	978-1-7281-5169-4
DOIs	https://doi.org/10.1109/ICIEA48937.2020.9248372
Publication status	Published - 9 Nov 2020
MoE publication type	A4 Article in a conference publication
Event	IEEE Conference on Industrial Electronics and Applications - Europe, Kristiansand, Norway Duration: 9 Nov 2020 → 13 Nov 2020 Conference number: 15 http://www.ieeeiciea.org/2020/authors/authors-information/

Conference

Conference	IEEE Conference on Industrial Electronics and Applications
Abbreviated title	ICIEA
Country/Territory	Norway
City	Kristiansand
Period	09/11/2020 → 13/11/2020
Internet address	http://www.ieeeiciea.org/2020/authors/authors-information/

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10.1109/ICIEA48937.2020.9248372

Path Planning Platform Designing of Intelligent Car used in Education-V6.7Accepted author manuscript, 4.43 MB

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title = "Path Planning System for Smart Cars Used in Education",

abstract = "In this paper, we developed a path planning system for smart cars for teaching electronic engineering or computer science, which consists of the interactive platform for smart cars development and path planning. Designed by Visual C++, the interactive platform can call Matlab engine, allows users to choose path optimization algorithms such as genetic or A-star(A*) algorithm for different tasks and control smart cars through serial ports. The simulation and practice demonstrate that our interactive platform can help learners to plan paths and control intelligent vehicles without specially designing a user interface.",

author = "Babak Mohajeri and Timo Nyberg and Jiehan Zhou and Guangyu Xiong and Yanfu Tian and Niu Lulu",

year = "2020",

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language = "English",

pages = "229--234",

booktitle = "Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020",

publisher = "IEEE",

address = "United States",

note = "IEEE Conference on Industrial Electronics and Applications, ICIEA ; Conference date: 09-11-2020 Through 13-11-2020",

url = "http://www.ieeeiciea.org/2020/authors/authors-information/",

}

Mohajeri, B, Nyberg, T, Zhou, J, Xiong, G, Tian, Y & Lulu, N 2020, Path Planning System for Smart Cars Used in Education. in Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020., 9248372, IEEE, pp. 229-234, IEEE Conference on Industrial Electronics and Applications, Kristiansand, Norway, 09/11/2020. https://doi.org/10.1109/ICIEA48937.2020.9248372

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AU - Nyberg, Timo

AU - Zhou, Jiehan

AU - Xiong, Guangyu

AU - Tian, Yanfu

AU - Lulu, Niu

N1 - Conference code: 15

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AB - In this paper, we developed a path planning system for smart cars for teaching electronic engineering or computer science, which consists of the interactive platform for smart cars development and path planning. Designed by Visual C++, the interactive platform can call Matlab engine, allows users to choose path optimization algorithms such as genetic or A-star(A*) algorithm for different tasks and control smart cars through serial ports. The simulation and practice demonstrate that our interactive platform can help learners to plan paths and control intelligent vehicles without specially designing a user interface.

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ER -

Path Planning System for Smart Cars Used in Education

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