2023-04-20 ヒューストン大学(UH)
この研究は、応用科学の研究ジャーナルに掲載されている。このシステムは、超広帯域技術を利用して位置を追跡し、非直線的な視野状況に対処することができる。この技術は、超広帯域無線による送受信機間の信号をブロックするトラック、建設用ローダー、その他の機器を克服することができる。
将来的には、アラートを発し、すべての建設現場をカバーするトラッキングゾーンを作成するなどの改善が必要だが、実時間で安全を監視するシステムとして貢献できる。
＜関連情報＞
- https://uh.edu/news-events/stories/2023/april-2023/04202023-researchers-develop-safety-monitoring-system-for-construction-sites.php
- https://www.mdpi.com/2076-3417/13/3/1581
ViPER+： 建設工事の安全自動監視のための超広帯域無線による車両位置推定 ViPER+: Vehicle Pose Estimation Using Ultra-Wideband Radios for Automated Construction Safety Monitoring
Alireza Ansaripour,Milad Heydariaan,Kyungki Kim,Omprakash Gnawali and Hafiz Oyediran
Applied Sciences Published: 26 January 2023
DOI:https://doi.org/10.3390/app13031581
Abstract
Pose estimation of heavy construction equipment is the key technology for real-time safety monitoring in road construction sites where heavy equipment and workers on foot collaborate in proximity. Ultra-wideband (UWB) radios hold great promise among various sensing technologies for providing accurate object localization in indoor and outdoor environments. However, in a road construction environment with heavy vehicles and equipment, the performance of UWB radios drastically declines because of blockages in the transmission signal between the transmitter and receiver causing Non-Line of Sight (NLOS) situations. To address this deficiency, our study presents a real-time pose estimating system called ViPER+ that can overcome NLOS situations and accurately determine the boundary of heavy construction equipment with multiple UWB tags attached to the surface of the equipment. To remove the impact of NLOS signals, we introduced an input correction method prior to localization to correct the input of the localization algorithm. Evaluation of ViPER+ in a real construction environment indicates that embedding NLOS detection technique in UWB-based pose estimation resulted in 40% improvements in location accuracy and 25% improvement in update rate compared to its previous implementation (ViPER).
