Zytlebot:基于FPGA集成ros的自主移动机器人

Ryota Miyagi, N. Takagi, Sho Kinoshista, M. Oda, Hideki Takase
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引用次数: 2

摘要

FPT 2021设计竞赛旨在改进利用FPGA的技术,实现5级自动驾驶。我们为比赛开发了基于FPGA集成ros的自主移动机器人ZytleBot。ZytleBot通过CMOS摄像头收集环境信息,识别环境,在可编程SoC上决定其行动,并控制其执行器。因此,ZytleBot可以运行道路模型课程,检测并充分处理交通灯和障碍物。我们使用机器人开发平台TurtleBot3和机器人中间件ROS来快速开发机器人系统。此外,我们利用FPGA利用HOG特征和SVM分类器加速道路图像处理和红绿灯识别。结果表明,使用FPGA的红绿灯识别速度比仅使用CPU的红绿灯识别速度快270倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zytlebot : FPGA integrated ros-based autonomous mobile robot
The FPT 2021 Design Competition aims to improve the technology of utilizing FPGA and achieve level-5 autonomous driving. We developed FPGA Integrated ROS-Based autonomous mobile robot, ZytleBot, for the competition. ZytleBot collects environmental information with CMOS cameras, recognizes environments, decides its action on programmable SoC, and controls its actuator. As a result, ZytleBot can run road model courses, detect and adequately deal with traffic lights and obstacles. We used the robot development platform TurtleBot3 and the robot middleware ROS to develop the robot system quickly. In addition, we utilize FPGA to accelerate road-images processing and traffic lights recognition using the HOG feature and SVM classifier. As a result, traffic lights recognition with FPGA is 270 times faster than those only with CPU.
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