{"title":"Implementation of a frequency FIR filter as 2D-FIR filter based on FPGA","authors":"A. Fakharian, Saeed Badr, M. Abdi","doi":"10.1109/RIOS.2015.7270745","DOIUrl":"https://doi.org/10.1109/RIOS.2015.7270745","url":null,"abstract":"In this paper, it is tried to transfer one of the powerful tools for image processing from the frequency domain to spatial domain. In which the frequency concepts is used in the field of image processing based on FPGA. The process is as follows that first a low-pass FIR filter in frequency domain is designed and then it is transferred from frequency domain to spatial domain and implemented as an IP Core standard structure in FPGA. The implemented IP CORE structure is streaming and the input and output images of type gray. Because the use of array and high-frequency processing in FPGA, it has wide applications in image processing field, especially for highspeed image processing. Finally, the implementation of 2D FIR filter and eyewitness in VGA's output and the comparison between the actual image and filtered image, it is obvious that high-frequency changes are decreased in the image.","PeriodicalId":437944,"journal":{"name":"2015 AI & Robotics (IRANOPEN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129635363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal trajectory planning for an omni-directional mobile robot with static obstacles: a polynomial based approach","authors":"N. Mohseni, A. Fakharian","doi":"10.1109/RIOS.2015.7270732","DOIUrl":"https://doi.org/10.1109/RIOS.2015.7270732","url":null,"abstract":"This paper presents a polynomial based optimal trajectory planning for an omni-directional mobile robot in presence of static obstacles with considering a limitation on velocity and acceleration of the robot. First, optimal trajectory planning problem is formulated as an optimal control problem which minimize a cost function of states and control efforts respect to constraints of the problem. To solve this optimal control problem, a state parameterization method is used. In fact, state variables of system are approximated by polynomial functions of time with unknown coefficients. Thus optimal control problem converts to a constraint optimization problem which is too easier than original optimal control problem. Then the polynomials coefficients are computed such that satisfy all the problem requirements and constraints. Simulation results show effectiveness of the proposed method under different situations.","PeriodicalId":437944,"journal":{"name":"2015 AI & Robotics (IRANOPEN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129837727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}