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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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 languageEnglish
Title of host publication2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
PublisherIEEE
Pages229-234
ISBN (Electronic)978-1-7281-5169-4
DOIs
Publication statusPublished - 13 Nov 2020
MoE publication typeA4 Article in a conference publication
EventIEEE Conference on Industrial Electronics and Applications - Europe, Kristiansand, Norway
Duration: 9 Nov 202013 Nov 2020
Conference number: 15
http://www.ieeeiciea.org/2020/authors/authors-information/

Conference

ConferenceIEEE Conference on Industrial Electronics and Applications
Abbreviated titleICIEA
CountryNorway
CityKristiansand
Period09/11/202013/11/2020
Internet address

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