3D Mapping for a Large Crane Using Rotating 2D-Lidar and IMU Attached to the Crane Boom
Author:
Affiliation:
1. Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Japan
2. Department of Information and Communication Engineering, University of Rajshahi, Rajshahi, Bangladesh
Funder
Kobelco Construction Machinery Company Ltd., Japan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10056143.pdf?arnumber=10056143
Reference43 articles.
1. High-quality instance-aware semantic 3D map using RGB-D camera;hoang;arXiv 1903 10782,2019
2. Interactive 3D Graph SLAM for Map Correction
3. Requirements for Autonomous Crane Safety Monitoring
4. A Comparison of Graph Optimization Approaches for Pose Estimation in SLAM
5. 3D Mapping and 6D Pose Computation for Real Time Augmented Reality on Cylindrical Objects
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2. Development of an Automatic Feature Point Classification Method for Three-Dimensional Mapping Around Slewing and Derricking Cranes;Photogrammetric Engineering & Remote Sensing;2024-09-01
3. Sensor Pose Estimation and 3D Mapping for Crane Operations Using Sensors Attached to the Crane Boom;IEEE Access;2023
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