Design and implementation of intelligent tracking car based on machine vision

The intelligent tracking car can realize self-perception, behavioral decision-making, automatic driving, etc. for environmental information, and has a wide application in our lives. In this paper, a new intelligent car is designed based on STM32F407ZGT6 MCU. The track information is collected by the...

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Bibliographic Details
Published inJournal of intelligent & fuzzy systems Vol. 38; no. 5; pp. 5799 - 5810
Main Authors Lisang, Liu, Dongwei, He, Jishi, Zheng, Ying, Ma, Jing, Huang, Junfeng, Fan, Xiaoyu, Wei, Jinxin, Yao
Format Journal Article
LanguageEnglish
Published Amsterdam IOS Press BV 01.01.2020
Subjects
Adaptive algorithms
Barriers
Data integration
Decision making
Image analysis
Machine vision
Multisensor fusion
Tracking
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Summary:The intelligent tracking car can realize self-perception, behavioral decision-making, automatic driving, etc. for environmental information, and has a wide application in our lives. In this paper, a new intelligent car is designed based on STM32F407ZGT6 MCU. The track information is collected by the OV7725 camera. The fast OTSU adaptive threshold algorithm is used to obtain the path guiding center line, which can realize image collection, image analysis and sensor data fusion, blocked path identification and intelligent judgment, automatic tracking function. The test results show that the algorithm is effective and feasible. When there are obstacles or partial loss on the track, it can intelligently identify the effective and obstacles and realize the independent decision making. It has good dynamic and robustness.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-179667