Abstract | ||
---|---|---|
Accurate counting and measurement of logs (known as log scaling) stacked in piles, is an integral part of the wood log supply chain. Currently, these tasks are manual, and hence labour intensive and prone to human errors. In this paper, we present LogLiDAR an IoT sensing-based solution for counting and scaling logs using LiDAR (Light Detection and Ranging) images. LogLiDAR incorporates an interactive user interface to explore log counting and scaling. The underlying system for processing LiDAR images is developed using a pipeline of point cloud library (PCL) algorithms This work is the first attempt to develop an IoT-based (LiDAR) solution for counting and scaling logs for the log industry. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/PERCOMWORKSHOPS51409.2021.9431022 | 2021 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS) |
Keywords | DocType | Citations |
Wood Log, Internet of Things, Log Scaling, Point Cloud, LiDAR, Visualisation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Felip Martí Carrillo | 1 | 0 | 0.68 |
Abdur Rahim Mohammad Forkan | 2 | 30 | 3.91 |
Prem Prakash Jayaraman | 3 | 378 | 44.66 |
Chris McCarthy | 4 | 0 | 0.68 |
Hadi Ghaderi | 5 | 0 | 0.68 |