High precision and high resolution monitoring of subsurface changes with DAS and airgun

2020 ◽  
Author(s):  
Baoshan Wang ◽  
Xiangfang Zeng ◽  
Jun Yang ◽  
Yuansheng Zhang ◽  
Zhenghong Song ◽  
...  
Keyword(s):  
Large Scale ◽  
Fiber Optic ◽  
Epicentral Distance ◽  
Low Cost ◽  
Fiber Optic Cable ◽  
The Road ◽  
Air Gun ◽  
Distributed Acoustic Sensing ◽  
On The Road ◽  
Road Crossing

<p>Recently large-volume airgun arrays have been used to explore and monitor the subsurface structure. The airgun array can generate highly repeatable seismic signals, which can be traced to more than 200 km. And the airgun source can be ignited every 10 minutes. The airgun source makes it possible to precisely monitor subsurface changes at large scale. The spatial resolution of airgun monitoring is poor subjecting to the receiver distribution. The distributed acoustic sensing (DAS) technique provides a strategy for low-cost and high-density seismic observations. Two experiments combing DAS technique and airgun source were conducted at two sites with different settings. At the first site, a telecommunication fiber-optic cable in urban area was used. After moderate stacking, the airgun signal emerges on the 30-km DAS array at about 9 km epicentral distance. In the second experiment, a 5-km cable was deployed from the airgun source to about 2 km away. About 800-m cable was frozen into the ice above the air-gun, the rest cable was cemented on the road crossing through a fault. And the airgun has been fired continuously for more than 48 hours with one-hour interval. On the stacking multiple shots’ records, the wavefield in fault zone emerges too. These two experiments demonstrate the feasibility of using various fiber-optic cables as dense array to acquire air-gun signal in different environments and to monitor the subsurface changes.</p>

CASA: An Alternative Smartphone-Based ADAS

2021 ◽  
pp. 1-41
Author(s):  
Manolo Dulva Hina ◽  
Hongyu Guan ◽  
Assia Soukane ◽  
Amar Ramdane-Cherif
Keyword(s):  
Low Cost ◽  
Electronic System ◽  
Time Data ◽  
Case Scenario ◽  
Safe Driving ◽  
The Road ◽  
Driving Assistance ◽  
Alternative Means ◽  
On The Road ◽  
Driving Assistance System

Advanced driving assistance system (ADAS) is an electronic system that helps the driver navigate roads safely. A typical ADAS, however, is suited to specific brands of vehicle and, due to proprietary restrictions, has non-extendable features. Project CASA is an alternative, low-cost generic ADAS. It is an app deployable on smartphone or tablet. The real-time data needed by the app to make sense of its environment are stored in the vehicle or on the cloud, and are accessible as web services. They are used to determine the current driving context, and, if needed, decide actions to prevent an accident or keep road navigation safe. Project CASA is an undertaking of a consortium of industrial and academic partners. A use case scenario is tested in the laboratory (virtual) and on the road (actual) to validate the appropriateness of CASA. It is a contribution to safe driving. CASA’s contribution also lies in its approach in the semantic modeling of the context of the environment, the vehicle and the driver, and on the modeling of rules for fusion of data and fission process yielding an action to be implemented. In addition, CASA proposes a secured means of transmitting data using light, via light fidelity (LiFi), itself an alternative means of wireless vehicle–smartphone communication.

On the Road to Large-Scale 3D Monocular Scene Reconstruction using Deep Implicit Functions

2021 ◽  
Author(s):  
Thomas Roddick ◽  
Benjamin Biggs ◽  
Daniel Olmeda Reino ◽  
Roberto Cipolla
Keyword(s):  
Large Scale ◽  
Scene Reconstruction ◽  
Implicit Functions ◽  
The Road ◽  
On The Road

Detecting and Correcting Pipeline Leaks Before They Become a Big Problem

2015 ◽  
Vol 49 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Ron Cramer ◽  
David Shaw ◽  
Robert Tulalian ◽  
Pabs Angelo ◽  
Maarten van Stuijvenberg
Keyword(s):  
Acoustic Wave ◽  
Real Time ◽  
Fiber Optic ◽  
Cost Effective ◽  
Leak Detection ◽  
Rate Of Change ◽  
Fiber Optic Cable ◽  
History Of ◽  
Distributed Acoustic Sensing ◽  
Critical Lines

AbstractTimely pipeline leak detection is a significant business issue in view of a long history of catastrophic incidents and growing intolerance for such events. It is vital to flag containment loss and location quickly, credibly, and reliably for all green or brown field critical lines in order to shut down the line safely and isolate the leak. Pipelines are designed to transport hydrocarbons safely; however, leaks have severe safety, economic, environmental, and reputational effects. This paper will highlight robust, reliable, and cost-effective methods, most of which leverage real-time instrumentation, telecommunications, SCADA, DCS, and associated online leak detection applications. The purpose of this paper will be to review the underlying leak detection business issues, catalogue the functional challenges, and describe experiences with available technologies. Internal and external techniques will be described, including basic rate of change of flow and pressure, compensated mass balance, statistical, real-time transient modeling, acoustic wave sensing, fiber optic cable (distributed temperature, distributed acoustic sensing), and subsea hydrophones. The paper will also describe related credibility, deployment, organizational, and maintenance issues with an emphasis on upstream applications. The scope will include leak detection for pipelines conveying various flowing fluids—gas, liquid, and multiphase flow. Pipeline environments will include subsea and onshore. Advantages, disadvantages, and experiences with these techniques will be described and analyzed.

scholarly journals Real Time Measurement of Airplane Flutter via Distributed Acoustic Sensing

Aerospace ◽  
2020 ◽  
Vol 7 (9) ◽  
pp. 125
Author(s):  
Ezzat G. Bakhoum ◽  
Cheng Zhang ◽  
Marvin H. Cheng
Keyword(s):  
Optical System ◽  
Fiber Optic ◽  
New Technology ◽  
Time Measurement ◽  
Fiber Optic Cable ◽  
Acoustic Sensing ◽  
Real Time Measurement ◽  
Distributed Acoustic Sensing ◽  
Mechanical Disturbances ◽  
New System

This research group has recently used the new technology Distributed Acoustic Sensing (DAS) for the monitoring and the measurement of airplane flutter. To the authors’ knowledge, this is the first such use for this new technology. Traditionally, the measurement of airplane flutter requires the mounting of a very large number of sensors on the wing being monitored, and extensive wiring must be connected to all these sensors. The new system and technology introduced in this paper dramatically reduces the hardware requirements in such an application: all the traditional sensors and wiring are replaced with one fiber optic cable with a diameter of 2 mm. An electro-optical system with the size of a desktop PC monitors simultaneously one or more of such fiber optic cables and detects/characterizes any mechanical disturbances on the cables. Theoretical and experimental results are given.

scholarly journals Raspberry Pi-Based Low-Cost Connected Device for Assessing Road Surface Friction

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 341 ◽  
Author(s):  
Miha Ambrož ◽  
Uroš Hudomalj ◽  
Alexander Marinšek ◽  
Roman Kamnik
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Low Cost ◽  
Measurement Data ◽  
Automatic Measurement ◽  
Raspberry Pi ◽  
Measuring Device ◽  
The Road ◽  
Measuring Devices ◽  
On The Road

Measuring friction between the tyres of a vehicle and the road, often and on as many locations on the road network as possible, can be a valuable tool for ensuring traffic safety. Rather than by using specialised equipment for sequential measurements, this can be achieved by using several low-cost measuring devices on vehicles that travel on the road network as part of their daily assignments. The presented work proves the hypothesis that a low cost measuring device can be built and can provide measurement results comparable to those obtained from expensive specialised measuring devices. As a proof of concept, two copies of a prototype device, based on the Raspberry Pi single-board computer, have been developed, built and tested. They use accelerometers to measure vehicle braking deceleration and include a global positioning receiver for obtaining the geolocation of each test. They run custom-developed data acquisition software on the Linux operating system and provide automatic measurement data transfer to a server. The operation is controlled by an intuitive user interface consisting of two illuminated physical pushbuttons. The results show that for braking tests and friction coefficient measurements the developed prototypes compare favourably to a widely used professional vehicle performance computer.

scholarly journals Empirical Analysis of Safe Distance Calculation by the Stereoscopic Capturing and Processing of Images Through the Tailigator System

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5044
Author(s):  
Gerd Christian Krizek ◽  
Rene Hausleitner ◽  
Laura Böhme ◽  
Cristina Olaverri-Monreal
Keyword(s):  
Low Cost ◽  
Field Tests ◽  
Warning System ◽  
Collision Warning ◽  
The Road ◽  
Cost System ◽  
Straight Line ◽  
Real Value ◽  
On The Road ◽  
Forward Collision Warning

Driver disregard for the minimum safety distance increases the probability of rear-end collisions. In order to contribute to active safety on the road, we propose in this work a low-cost Forward Collision Warning system that captures and processes images. Using cameras located in the rear section of a leading vehicle, this system serves the purpose of discouraging tailgating behavior from the vehicle driving behind. We perform in this paper the pertinent field tests to assess system performance, focusing on the calculated distance from the processing of images and the error margins in a straight line, as well as in a curve. Based on the evaluation results, the current version of the Tailigator can be used at speeds up to 50 km per hour without any restrictions. The measurements showed similar characteristics both on the straight line and in the curve. At close distances, between 3 and 5 m, the values deviated from the real value. At average distances, around 10 to 15 m, the Tailigator achieved the best results. From distances higher than 20 m, the deviations increased steadily with the distance. We contribute to the state of the art with an innovative low-cost system to identify tailgating behavior and raise awareness, which works independently of the rear vehicle’s communication capabilities or equipment.

Air-Car

2005 ◽  
Author(s):  
Mahmood Anwar
Keyword(s):  
Lift Force ◽  
Third World ◽  
Large Scale ◽  
Ground Level ◽  
The Body ◽  
Stream Line ◽  
Traffic Jam ◽  
Traffic System ◽  
The Road ◽  
On The Road

The name of my proposing project is “air-car”. Now a day’s traffic jam is common problem of the mega city, especially in third world countries. so, if we design the traffic system such that the light vehicles like car will flies over certain height from the ground level about 100-200 ft and the heavy vehicle like bus, truck, lorry, etc. will run on the road simultaneously then the traffic jam will be minimize with a large scale. Let us introduce with the concept “air-car”. Air car is the vehicle which can run in both way of air and road. That means that it can fly over a certain height from the ground and also run in the road as usual. We know that for the car design is such the lift force is minimized than the drag force. I want to design for the car such that, when the car has to fly lift force will be increase as much as it can fly for the required height. The body of the car also be a stream line body and the flap, aileron, rudder also be added. But this should be hidden at the time of running in the road.

Collective behaviour of wild Asian elephants in risky situations: how do social groups cross roads?

Behaviour ◽  
2017 ◽  
Vol 154 (12) ◽  
pp. 1215-1237 ◽  
Author(s):  
Kaori Mizuno ◽  
Nachiketha Sharma ◽  
Gen’ichi Idani ◽  
Raman Sukumar
Keyword(s):  
National Park ◽  
Group Living ◽  
Age Classes ◽  
Asian Elephants ◽  
The Road ◽  
Traffic Characteristics ◽  
Group Members ◽  
On The Road ◽  
Free Ranging ◽  
Road Crossing

Among group-living animals, some members may derive benefit by following the decisions of other members. Free-ranging wild Asian elephants in Mudumalai National Park, southern India, must often cross roads and can be disturbed by vehicles. We assessed if measures of road and traffic characteristics serve as indicators of risk, and compared behaviours of different age classes during road-crossing events. More individuals displayed excitable behaviour on wider roads. A larger number of adults entered the road first, which is considered the most dangerous position, compared with immature elephants. Immature individuals tended to move ahead of others on the road, suggesting that it is more important for immature individuals to follow adults at the beginning of a crossing than to follow along for the entire crossing. These findings may suggest that less experienced group members derive benefit by following the decisions of experienced ones under risky situations.

International Large-Scale Vehicle Corpora for Research on Driver Behavior on the Road

2011 ◽  
Vol 12 (4) ◽  
pp. 1609-1623 ◽  
Author(s):  
Kazuya Takeda ◽  
John H. L. Hansen ◽  
Pınar Boyraz ◽  
Lucas Malta ◽  
Chiyomi Miyajima ◽  
...  
Keyword(s):  
Large Scale ◽  
Driver Behavior ◽  
The Road ◽  
On The Road

scholarly journals CoDRIVE – Delivering High Accuracy, Ubiquitous Positioning Through Combined Radio Navigation and Inertial Sensing Technologies

2020 ◽  
Author(s):  
Simon Roberts
Keyword(s):  
Radio Frequency Identification ◽  
Autonomous Vehicles ◽  
Low Cost ◽  
Maximum Error ◽  
Precision Data ◽  
The Road ◽  
Frequency Identification ◽  
High Precision Data ◽  
On The Road ◽  
The University

The CoDRIVE solution builds on R&D in the development of connected and autonomous vehicles (CAVs). The mainstay of the system is a low-cost GNSS receiver integrated with a MEMS grade IMU powered with CoDRIVE algorithms and high precision data processing software. The solution integrates RFID (radio-frequency identification) localisation information derived from tags installed in the roads around the University of Nottingham. This aids the positioning solution by correcting the long-term drift of inertial navigation technology in the absence of GNSS. The solution is informed of obscuration of GNSS through city models of skyview and elevation masks derived from 360-degree photography. The results show that predictive intelligence of the denial of GNSS and RFID aiding realises significant benefits compared to the inertial only solution. According to the validation, inertial only solutions drift over time, with an overall RMS accuracy over a 300 metres section of GNSS outage of 10 to 20 metres. After deploying the RFID tags on the road, experiments show that the RFID aided algorithm is able to constrain the maximum error to within 3.76 metres, and with 93.9% of points constrained to 2 metres accuracy overall.

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