Path Planning System for Smart Cars Used in Education

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

*Corresponding author for this work

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

2 Citations (Scopus)
171 Downloads (Pure)


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 publicationProceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Number of pages6
ISBN (Electronic)978-1-7281-5169-4
Publication statusPublished - 9 Nov 2020
MoE publication typeA4 Conference publication
EventIEEE Conference on Industrial Electronics and Applications - Europe, Kristiansand, Norway
Duration: 9 Nov 202013 Nov 2020
Conference number: 15


ConferenceIEEE Conference on Industrial Electronics and Applications
Abbreviated titleICIEA
Internet address


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