摘要
针对地面无人平台目标检测,利用MLU100智能计算加速卡,研究了通用服务器架构下的目标检测开源算法SSD/YOLOv3的移植方法,构建了两种测试用例;提出了一种加速卡评价指标体系,利用层次分析法对MLU100智能加速卡性能进行了评价;以地面无人平台自主导航任务为驱动,开展了MLU100智能计算加速卡运行两种目标检测测试用例的静态与动态性能测试。测试结果表明,MLU100智能加速卡能够满足地面无人平台低速行驶情况下的目标检测算法实时运行需求。
Aiming at the application background of unmanned ground platform target detection,the MLU100 intelligent computing acceleration card is selected as the hardware support.This paper studied the transplantation method of open source target detection algorithm SSD/YOLOv3 under the general server architecture,and constructs two test cases.An evaluation index system of MLU100 intelligent acceleration card was proposed.The performance of MLU100 intelligent acceleration card was evaluated by AHP(Analytic Hierarchy Process).The static and dynamic performance tests of the MLU100 intelligent computing accelerator card running two kinds of target detection test cases were carried out driven by the autonomous navigation task of the ground unmanned platform.The results show that the MLU100 intelligent acceleration card can meet the real-time operation requirements of the target detection algorithm under low-speed driving of unmanned ground platform.
作者
安旭阳
苏治宝
杜志岐
李兆冬
AN Xuyang;SU Zhibao;DU Zhiqi;LI Zhaodong(China North Vehicle Research Institute, Beijing 100072, China)
出处
《兵器装备工程学报》
CAS
北大核心
2020年第12期259-267,共9页
Journal of Ordnance Equipment Engineering
基金
国防科技创新特区项目(1916311ZD00100103)
中山市科技计划项目(190919172744585)。
