Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements
IEEE International Conference on Communications, ISSN: 1550-3607, Vol: 2023-May, Page: 241-246
2023
- 2Citations
- 72Usage
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations2
- Citation Indexes2
- Usage72
- Downloads71
- Abstract Views1
- Captures2
- Readers2
Conference Paper Description
An unmanned aerial vehicle (UAV) integrated with the remote sensing technology of light detection and ranging (LiDAR) can provide accurate and real-time road traffic information. In this paper, we propose to equip UAVs with LiDAR sensors for Intelligent Transportation Systems (ITS) applications. The goal is to find the optimal 3D placement of multiple UAV-LiDAR (ULiDs) for a given road segmentation. We formulate an optimization problem to find the optimal placement such that the road coverage efficiency is maximized. The optimization problem is constrained by notable ULiD specifications such as field-of-view (FoV), point-cloud density, geographic information system (GIS) location, and road segment coverage priorities. We propose to use a computational intelligent algorithm based on particle swarm optimization to solve the problem. Finally, we illustrate the benefits of using our proposed algorithm over other baselines.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85149953370&origin=inward; http://dx.doi.org/10.1109/icc45041.2023.10279163; https://ieeexplore.ieee.org/document/10279163/; https://scholarsmine.mst.edu/ele_comeng_facwork/5190; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=6219&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
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