Custom Pallet Detection Using YOLOv5 Deep Learning Architecture-Reference-Cited by-同舟云学术

Custom Pallet Detection Using YOLOv5 Deep Learning Architecture

Published:2022-11-08 Issue: Volume: Page:
ISSN:
Container-title:2022 International Symposium on Electronics and Smart Devices (ISESD)
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Author:

Manurung Philippians¹,Rusmin Pranoto Hidaya¹,Yusuf Rahadian¹

Affiliation:

1. Institut Teknologi Bandung,Sekolah Teknik Elektro dan Informatika,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9980473/9980545/09980635.pdf?arnumber=9980635

Reference21 articles.

1. Autonomous pallet localization and picking for industrial forklifts: a robust range and look method

2. Autonomous Pallet Localization and Picking for Industrial Forklifts Based on the Line Structured Light;wang;IEEE International Conference on Mechatronics and Automation,2012

3. Deep Learning for Vision Systems;elgendy,2020

4. ultralytics/yolov5: v6.2 - YOLOv5 Classification Models, Apple M1, Reproducibility, ClearML, and Deci.ai integrations;jocher;Zenodo,2022

5. YOLOv5 v6.2 by Ultralytics;jocher;Github,2022

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1. Pallet Detection and Localization Based on RGB Image and Point Cloud Data for Automated Forklift;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

2. EuroPallet Detection with RGB-D Camera Based on Deep Learning;The European Journal of Research and Development;2023-12-31

3. Rollover Stability Control of Autonomous Forklift Using Optimal Control Approach;2023 IEEE 13th International Conference on System Engineering and Technology (ICSET);2023-10-02

4. Localization of Pallets in Narrow Aisles for Unmanned Forklifts;2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS);2023-07-07