{"title":"FPGA-based UAV Heterogeneous Computing Platform Architecture","authors":"Junpeng Guo, Bo Jiang, Hong-xun Xu","doi":"10.1109/ICCIA52886.2021.00056","DOIUrl":null,"url":null,"abstract":"The development of the UAV field is changing with each passing day, especially a lot of research has been done on the road of autonomous and controllable. At present, the control module has become the mainstream design. Because it can perform high-performance real-time image processing, which is popular, but this design has the disadvantages of high power consumption, slow processing and low response speed. With its high-performance concurrent computing mode, FPGA has excellent performance in signal processing, graphics deduction, control and other fields, and has low power consumption. The embedded architecture on the edge side has attracted more and more attention. Small UAVs have limitations such as small size, low power load, and high timeliness. The GPU-ARM architecture cannot meet the requirements of small drones. In order to solve the above problems, this paper proposes a new UAV architecture based on FPGA-ARM-GPU for the use of small UAV.","PeriodicalId":269269,"journal":{"name":"2021 6th International Conference on Computational Intelligence and Applications (ICCIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Computational Intelligence and Applications (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIA52886.2021.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The development of the UAV field is changing with each passing day, especially a lot of research has been done on the road of autonomous and controllable. At present, the control module has become the mainstream design. Because it can perform high-performance real-time image processing, which is popular, but this design has the disadvantages of high power consumption, slow processing and low response speed. With its high-performance concurrent computing mode, FPGA has excellent performance in signal processing, graphics deduction, control and other fields, and has low power consumption. The embedded architecture on the edge side has attracted more and more attention. Small UAVs have limitations such as small size, low power load, and high timeliness. The GPU-ARM architecture cannot meet the requirements of small drones. In order to solve the above problems, this paper proposes a new UAV architecture based on FPGA-ARM-GPU for the use of small UAV.