Pallet recognition and localization using an RGB-D camera
Author:
Affiliation:
1. College of Mechatronics and Automation, National University of Defense Technology, Changsha, China
2. College of Computer Science, Zhejiang University of Technology, Hangzhou, China
Publisher
SAGE Publications
Subject
Artificial Intelligence,Computer Science Applications,Software
Link
http://journals.sagepub.com/doi/pdf/10.1177/1729881417737799
Reference10 articles.
1. Guest Editorial: A Revolution in the Warehouse: A Retrospective on Kiva Systems and the Grand Challenges Ahead
2. Autonomous pallet localization and picking for industrial forklifts: a robust range and look method
3. Accelerated patch-based planar clustering of noisy range images in indoor environments for robot mapping
4. NCC-RANSAC: A Fast Plane Extraction Method for 3-D Range Data Segmentation
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1. Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models;2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP);2023-10-26
2. High Precision Pallet Detection and Location Algorithm for AGV;2023 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM);2023-06-09
3. Automated pallet handling via occlusion-robust recognition learned from synthetic data*;2023 IEEE Conference on Artificial Intelligence (CAI);2023-06
4. MOSPPA: monitoring system for palletised packaging recognition and tracking;The International Journal of Advanced Manufacturing Technology;2023-02-23
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