PDF(10252 KB)
Design of image processing system for humanoid robots based on FPGA
XIE Tianshu, LIU Yuanguang, XU Shangrui, LI Zelin, HUANG Yongjia, ZHANG Hong, LOU Yongle
Integrated Circuits and Embedded Systems ›› 2026, Vol. 26 ›› Issue (2) : 71-80.
PDF(10252 KB)
PDF(10252 KB)
Design of image processing system for humanoid robots based on FPGA
To address the high latency of ARM architecture and the limited functionality of FPGA solutions, a collaborative architecture-based image processing system combining FPGA and PC is designed. The system integrates functions such as brightness, contrast, and color temperature adjustment, green screen matting, skin tone ROI, traffic light ROI extraction, and invalid region removal. The host computer builds a web interface using the Python Flask framework to implement parameter configuration and result display, and also extends the gesture recognition functionality. Data interaction is achieved through a USB-UART link, and the core module's processing speed remains stable at 560 Mb/s, significantly improving image processing efficiency and meeting real-time requirements. This system provides high-quality image input for humanoid robot vision front-end, adapting to low-light and occlusion scenarios, with broad application value.
FPGA / hardware-software co-design / image processing / gesture recognition / hardware acceleration
| [1] |
|
| [2] |
中国信息通信研究院泰尔系统实验室. 人形机器人产业发展研究报告(2024年)[R], 2024.
Telecom System Laboratory, China Academy of Information and Communications Technology (CAICT). Research Report on the Development of Humanoid Robot Industry (2024)[R], 2024(in Chinese).
|
| [3] |
|
| [4] |
李佩斌. 基于高速串行总线的DSP+FPGA架构图像处理系统设计[J]. 集成电路与嵌入式系统, 2024, 24(12):45-51.
采用高性能DSP+FPGA架构可满足嵌入式图像处理系统对大数据量、复杂算法的实时处理需求,传统的DSP+FPGA架构使用并行外部存储器接口作为数据传输接口,走线条数较多,布线难度大,故障点多。采用高速串行总线可解决以上问题,本文提出一种基于高速串行总线的DSP+FPGA架构图像处理系统,采用PCIe总线作为DSP与FPGA之间的图像数据传输通道,SRIO总线作为DSP与DSP之间的数据传输通道,SGMII总线作为DSP与PHY芯片的数据传输通道。高速串行总线使得数据传输率更高,布线更容易,减小了电磁干扰,提高了抗干扰能力。本文设计的系统已在实际场所中部署并稳定运行,验证了设计的可行性和系统的可靠性。
|
| [5] |
ABM REZBAUL ISLAM,
|
| [6] |
周先春, 郭亮可, 邹宇, 等. 基于FPGA实现二维卷积滤波器的图像处理[J]. 现代电子技术, 2021, 44(4):17-22.
|
| [7] |
张强, 孙静, 王威廉, 等. 硬件加速CNN实时图像处理方法[J]. 计算机工程与设计, 2020, 41(6):1581-1585.
|
| [8] |
|
| [9] |
|
| [10] |
马景. 基于多传感器和Zynq的手势识别系统[D]. 成都: 西南交通大学, 2019.
|
| [11] |
MATIWADE,
|
| [12] |
刘湘, 魏鑫, 陈禾, 等. 应用于ARM-NEON的图像二维卷积高效实现方法[C]// 中国高科技产业化研究会智能信息处理产业化分会. 第十二届全国信号和智能信息处理与应用学术会议论文集, 2018:498-503.
|
| [13] |
李钢, 李静. 基于FPGA图像处理技术的人脸检测[J]. 工业控制计算机, 2020, 33(3):84-86.
|
/
| 〈 |
|
〉 |