{"title":"基于OPENMV的板球系统轨迹预测研究","authors":"Mengdie Yin, Shaoming Pan, Haidong Tan","doi":"10.1145/3565387.3565426","DOIUrl":null,"url":null,"abstract":"Currently, the cricket system has attracted the attention of many scholars as an experimental platform for studying various control algorithms in the field of control. This paper designs a low-cost based on OPENMV cricket motion control system. In system design, OPENMV obtains ball position information, then the curve fitting of the ball motion is performed to use the least squares method for predicting the next position of the ball, and use Kalman filtering to optimize the ball prediction point, to improve prognostic accuracy. Finally, the PID algorithm is used to control the system to track this predicted coordinate. The system incorporates the prediction of the position of the ball at the next moment, eliminating the problem of lagging of the camera to obtain information about the position of the ball, making the system more resistant to interference and laying the foundation for the precise study of the control algorithm. The experimental results show that this system can predict the trajectory of the ball very well and achieve the expected results.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Trajectory Prediction of Cricket System Based on OPENMV\",\"authors\":\"Mengdie Yin, Shaoming Pan, Haidong Tan\",\"doi\":\"10.1145/3565387.3565426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, the cricket system has attracted the attention of many scholars as an experimental platform for studying various control algorithms in the field of control. This paper designs a low-cost based on OPENMV cricket motion control system. In system design, OPENMV obtains ball position information, then the curve fitting of the ball motion is performed to use the least squares method for predicting the next position of the ball, and use Kalman filtering to optimize the ball prediction point, to improve prognostic accuracy. Finally, the PID algorithm is used to control the system to track this predicted coordinate. The system incorporates the prediction of the position of the ball at the next moment, eliminating the problem of lagging of the camera to obtain information about the position of the ball, making the system more resistant to interference and laying the foundation for the precise study of the control algorithm. The experimental results show that this system can predict the trajectory of the ball very well and achieve the expected results.\",\"PeriodicalId\":182491,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Computer Science and Application Engineering\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Computer Science and Application Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3565387.3565426\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3565387.3565426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Trajectory Prediction of Cricket System Based on OPENMV
Currently, the cricket system has attracted the attention of many scholars as an experimental platform for studying various control algorithms in the field of control. This paper designs a low-cost based on OPENMV cricket motion control system. In system design, OPENMV obtains ball position information, then the curve fitting of the ball motion is performed to use the least squares method for predicting the next position of the ball, and use Kalman filtering to optimize the ball prediction point, to improve prognostic accuracy. Finally, the PID algorithm is used to control the system to track this predicted coordinate. The system incorporates the prediction of the position of the ball at the next moment, eliminating the problem of lagging of the camera to obtain information about the position of the ball, making the system more resistant to interference and laying the foundation for the precise study of the control algorithm. The experimental results show that this system can predict the trajectory of the ball very well and achieve the expected results.