首页> Heliyon> A new CNN-BASED object detection system for autonomous mobile robots based on real-world vehicle datasets.

A new CNN-BASED object detection system for autonomous mobile robots based on real-world vehicle datasets.

导出 LinkOut

翻译打印收藏纠错

第一作者： Udink,Aulia

第一单位： Doctoral Program, School of Engineering, Post Graduate Program, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.;Dept. of Mechanical and Industrial Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.

作者： Udink,Aulia ^[1] ; Iskandar,Hasanuddin ^[2] ; Muhammad,Dirhamsyah ^[2] ; Nasaruddin,Nasaruddin ^[3]

作者单位： Doctoral Program, School of Engineering, Post Graduate Program, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.;Dept. of Mechanical and Industrial Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia. ^[1] Dept. of Mechanical and Industrial Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia. ^[2] Dept. of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia. ^[3]

关键词 Autonomous mobile robot (AMR)CNN Object detection Real-world datasets Transfer learning

DOI 10.1016/j.heliyon.2024.e35247

PMID 39166079

发布时间 2024-08-22

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Heliyon

2024年10卷15期

e35247页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

A new CNN-BASED object detection system for autonomous mobile robots based on real-world vehicle datasets.

Heliyon

相似文献

Heliyon

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

A new CNN-BASED object detection system for autonomous mobile robots based on real-world vehicle datasets.

Heliyon

相似文献

Heliyon

相关期刊

检索历史清除