Intelligent Tracking Car Path Planning Based on Hough Transform and Improved PID Algorithm

This paper presents a self-tracking smart car control algorithm with OpenMV as the main development platform. OpenMV which has a digital CMOS image sensor is selected in the smart car system to realize the black and white trajectory reorganization. This work also proposes a track extraction algorith...

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Bibliographic Details
Published inICSAI 2018 : 2018 5th International Conference on Systems and Informatics : 10-12 November 2018, Jinyuanbao Hotel, Nanjing, China pp. 24 - 28
Main Authors Mu, Zixin, Li, Zifan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2018
Subjects
OpenMV
path planning
self-tracking
track extraction
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DOI10.1109/ICSAI.2018.8599505

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Summary:This paper presents a self-tracking smart car control algorithm with OpenMV as the main development platform. OpenMV which has a digital CMOS image sensor is selected in the smart car system to realize the black and white trajectory reorganization. This work also proposes a track extraction algorithm based on Hough transform for path planning. Meanwhile, it adopts PID algorithm to make smart car follow the scheduled road automatically. The experiment shows that the proposed method can accomplish the path identification and planning task.
DOI:10.1109/ICSAI.2018.8599505