带有AMD Xilinx FPGA AI客户平台的边缘计算系统,用于高级驾驶员辅助系统
Tsun-Kuang Chi1, Tsung-Yi Chen2, Yu-Chen Lin3
1Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan.
Sensors (Basel, Switzerland)
|May 25, 2024
概括
本研究介绍了一种使用现场可编程门阵列 (FPGA) 的边缘计算系统,用于在高级驾驶辅助系统 (ADAS) 中实时检测路面缺陷. 该系统通过准确的缺陷识别和通信来提高车辆的安全性和性能.
科学领域:
- 边缘计算 边缘计算
- 现场可编程的门阵列 (FPGA)
- 先进的驾驶辅助系统 (ADAS) 是指先进的驾驶辅助系统.
背景情况:
- 实时应用受益于边缘计算和FPGA.
- 路面缺陷检测对于车辆安全和性能至关重要.
研究的目的:
- 设计一个创新的边缘计算系统,用于在ADAS中检测路面缺陷.
- 将AMD Xilinx AI平台和YOLOv3模型集成在一起,以有效识别缺陷.
主要方法:
- 使用摄像头来捕捉道路现场.
- 采用深度学习处理单元 (DPU) 与YOLOv3模型用于缺陷检测.
- 集成FPGA技术用于定制电路配置和实时处理.
主要成果:
- 在识别三种类型的路面缺陷方面实现了高准确性和效率.
- 启用通过控制器区域网络 (CAN) 接口实时传输故障信息.
- 将ADAS转化为边缘计算设备,用于明智决策.
结论:
- 基于FPGA的边缘计算显著提高了ADAS在汽车安全方面的能力.
- 该系统有助于实时通信和决策,改善驾驶体验.
- 这种协同作用为未来的车辆辅助系统创新铺平了道路.
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