Real-Time Tidal Volume Estimation Using Iso-surface Reconstruction

2016 ◽  
Author(s):  
Shane Transue ◽  
Phuc Nguyen ◽  
Tam Vu ◽  
Min-Hyung Choi
Keyword(s):  
Tidal Volume ◽  
Real Time ◽  
Surface Reconstruction ◽  
Volume Estimation

scholarly journals Computational Geometry-Based Surface Reconstruction for Volume Estimation: A Case Study on Magnitude-Frequency Relations for a LiDAR-Derived Rockfall Inventory

2021 ◽  
Vol 10 (3) ◽  
pp. 157
Author(s):  
Paul-Mark DiFrancesco ◽  
David A. Bonneau ◽  
D. Jean Hutchinson
Keyword(s):  
Computational Geometry ◽  
Surface Reconstruction ◽  
Power Law ◽  
Point Cloud ◽  
Point Clouds ◽  
Volume Estimation ◽  
Estimation Methods ◽  
Small Scale ◽  
Reconstruction Methods ◽  
3D Volume

Key to the quantification of rockfall hazard is an understanding of its magnitude-frequency behaviour. Remote sensing has allowed for the accurate observation of rockfall activity, with methods being developed for digitally assembling the monitored occurrences into a rockfall database. A prevalent challenge is the quantification of rockfall volume, whilst fully considering the 3D information stored in each of the extracted rockfall point clouds. Surface reconstruction is utilized to construct a 3D digital surface representation, allowing for an estimation of the volume of space that a point cloud occupies. Given various point cloud imperfections, it is difficult for methods to generate digital surface representations of rockfall with detailed geometry and correct topology. In this study, we tested four different computational geometry-based surface reconstruction methods on a database comprised of 3668 rockfalls. The database was derived from a 5-year LiDAR monitoring campaign of an active rock slope in interior British Columbia, Canada. Each method resulted in a different magnitude-frequency distribution of rockfall. The implications of 3D volume estimation were demonstrated utilizing surface mesh visualization, cumulative magnitude-frequency plots, power-law fitting, and projected annual frequencies of rockfall occurrence. The 3D volume estimation methods caused a notable shift in the magnitude-frequency relations, while the power-law scaling parameters remained relatively similar. We determined that the optimal 3D volume calculation approach is a hybrid methodology comprised of the Power Crust reconstruction and the Alpha Solid reconstruction. The Alpha Solid approach is to be used on small-scale point clouds, characterized with high curvatures relative to their sampling density, which challenge the Power Crust sampling assumptions.

Real-Time Highly Resolved Spatial-Temporal Vehicle Energy Consumption Estimation Using Machine Learning and Probe Data

2021 ◽  
pp. 036119812110391
Author(s):  
Joseph Severino ◽  
Yi Hou ◽  
Ambarish Nag ◽  
Jacob Holden ◽  
Lei Zhu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Real Time ◽  
Volume Estimation ◽  
Energy Estimates ◽  
Volume Data ◽  
Road Transportation ◽  
Energy Efficient Routing ◽  
Real World Data ◽  
Consumption Data

Real-time highly resolved spatial-temporal vehicle energy consumption is a key missing dimension in transportation data. Most roadway link-level vehicle energy consumption data are estimated using average annual daily traffic measures derived from the Highway Performance Monitoring System; however, this method does not reflect day-to-day energy consumption fluctuations. As transportation planners and operators are becoming more environmentally attentive, they need accurate real-time link-level vehicle energy consumption data to assess energy and emissions; to incentivize energy-efficient routing; and to estimate energy impact caused by congestion, major events, and severe weather. This paper presents a computational workflow to automate the estimation of time-resolved vehicle energy consumption for each link in a road network of interest using vehicle probe speed and count data in conjunction with machine learning methods in real time. The real-time pipeline can deliver energy estimates within a couple seconds on query to its interface. The proposed method was evaluated on the transportation network of the metropolitan area of Chattanooga, Tennessee. The volume estimation results were validated with ground truth traffic volume data collected in the field. To demonstrate the effectiveness of the proposed method, the energy consumption pipeline was applied to real-world data to quantify road transportation-related energy reduction because of mitigation policies to slow the spread of COVID-19 and to measure energy loss resulting from congestion.

scholarly journals A real-time interactive system of surface reconstruction and dynamic projection mapping with RGB-depth sensor and projector

2018 ◽  
Vol 14 (7) ◽  
pp. 155014771879085 ◽  
Author(s):  
Yundong Guo ◽  
Shu-Chuan Chu ◽  
Zhenyu Liu ◽  
Chan Qiu ◽  
Hao Luo ◽  
...  
Keyword(s):  
Real Time ◽  
Surface Reconstruction ◽  
Virtual Worlds ◽  
Target Surface ◽  
Calibration Procedure ◽  
Interactive System ◽  
Depth Sensor ◽  
Projection Mapping ◽  
Optimization Framework ◽  
Depth Data

Reconstruction and projection mapping enable us to bring virtual worlds into real spaces, which can give spectators an immersive augmented reality experience. Based on an interactive system with RGB-depth sensor and projector, we present a combined hardware and software solution for surface reconstruction and dynamic projection mapping in real time. In this article, a novel and adaptable calibration scheme is proposed, which is used to estimate approximate models to correct and transform raw depth data. Besides, our system allows for smooth real-time performance using an optimization framework, including denoising and stabilizing. In the entire pipeline, markers are only used in the calibration procedure, and any priors are not needed. Our approach enables us to interact with the target surface in real time, while maintaining correct illumination. It is easy and fast to develop different applications for our system, and some interesting cases are demonstrated at last.

Real time noninvasive estimation of work of breathing using facemask leak-corrected tidal volume during noninvasive pressure support: validation study

2015 ◽  
Vol 30 (3) ◽  
pp. 285-294 ◽  
Author(s):  
Michael J. Banner ◽  
Carl G. Tams ◽  
Neil R. Euliano ◽  
Paul J. Stephan ◽  
Trevor J. Leavitt ◽  
...  
Keyword(s):  
Tidal Volume ◽  
Real Time ◽  
Validation Study ◽  
Pressure Support ◽  
Work Of Breathing ◽  
Noninvasive Estimation

Accuracy of real-time, three-dimensional Doppler echocardiography for stroke volume estimation compared with phase-encoded MRI: an in vivo study

Heart ◽  
2008 ◽  
Vol 94 (9) ◽  
pp. 1212-1213 ◽  
Author(s):  
J Pemberton ◽  
M Jerosch-Herold ◽  
X Li ◽  
L Hui ◽  
M Silberbach ◽  
...  
Keyword(s):  
Stroke Volume ◽  
Real Time ◽  
Doppler Echocardiography ◽  
Three Dimensional ◽  
Volume Estimation ◽  
In Vivo Study
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