ViPER plus : Vehicle Pose Estimation Using Ultra-Wideband Radios for Automated Construction Safety Monitoring

被引:9
作者
Ansaripour, Alireza [1 ]
Heydariaan, Milad [1 ]
Kim, Kyungki [2 ]
Gnawali, Omprakash [1 ]
Oyediran, Hafiz [2 ]
机构
[1] Univ Houston, Dept Comp Sci, Houston, TX 77004 USA
[2] Univ Nebraska Lincoln, Durham Sch Architectural Engn & Construct, Lincoln, NE 68588 USA
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 03期
关键词
safety; location tracking; construction equipment; UWB; NLOS; LOS; HAZARD IDENTIFICATION; UWB LOCALIZATION; NLOS IDENTIFICATION; MITIGATION; SYSTEM; PREVENTION; MANAGEMENT; BIM;
D O I
10.3390/app13031581
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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).
引用
收藏
页数:20
相关论文
共 57 条
[1]   Enhancing construction hazard recognition and communication with energy-based cognitive mnemonics and safety meeting maturity model: Multiple baseline study [J].
Albert, Alex ;
Hallowell, Matthew R. ;
Kleiner, Brian M. .
Journal of Construction Engineering and Management, 2014, 140 (02)
[2]  
[Anonymous], 2013, DECAWAVE EVK1000 USE, P1
[3]  
[Anonymous], REGULATIONS STANDARD
[4]   ViPER: Vehicle Pose Estimation using Ultra-WideBand Radios [J].
Ansaripour, Alireza ;
Heydariaan, Milad ;
Gnawali, Omprakash ;
Kim, Kyungki .
16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020), 2020, :120-127
[5]   Workplace hazard identification and management: The case of an underground mining operation [J].
Bahn, Susanne .
SAFETY SCIENCE, 2013, 57 :129-137
[6]   Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments [J].
Barral, Valentin ;
Suarez-Casal, Pedro ;
Escudero, Carlos J. ;
Antonio Garcia-Naya, Jose .
ELECTRONICS, 2019, 8 (10)
[7]   A proactive system for real-time safety management in construction sites [J].
Carbonari, Alessandro ;
Giretti, Alberto ;
Naticchia, Berardo .
AUTOMATION IN CONSTRUCTION, 2011, 20 (06) :686-698
[8]   Safety hazard identification on construction projects [J].
Carter, G ;
Smith, SD .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2006, 132 (02) :197-205
[9]  
cdc.gov, HIGHWAY WORK ZONE SA
[10]   Performance evaluation of ultra wideband technology for construction resource location tracking in harsh environments [J].
Cheng, T. ;
Venugopal, M. ;
Teizer, J. ;
Vela, P. A. .
AUTOMATION IN CONSTRUCTION, 2011, 20 (08) :1173-1184