Generic Multimedia Database for Highway Infrastructure Management

Author(s):  
Kelvin C. P. Wang ◽  
Xuyang Li ◽  
Robert P. Elliott

Images of highway right-of-way are used widely by highway agencies through their photologging services to obtain visual information for the analysis of traffic accidents, design improvement, and highway pavement management. The video data usually are in analog format, which is limited in accessibility and search, cannot automatically display site engineering data sets with video, and does not allow simultaneous access by multiple users. Recognizing the need to improve the existing photologging systems, the state highway agency of Arkansas sponsored a research project to develop a full digital, computer-based highway information system that extends the capabilities of existing photologging equipment. The software technologies developed for a distributed multimedia-based highway information system (MMHIS) are presented. MMHIS removes several limitations of the existing systems. The advanced technologies used in this system include digital video, data synchronization, high-speed networking, and video server. The developed system can dynamically link the digital video with the corresponding engineering site data based on a novel algorithm for the data synchronization. Also presented is a unique technique to construct a three-dimensional user interface for MMHIS based on the terrain map of Arkansas.

Recently, accidents involving ground transportations are getting worse and more serious. Indonesian State Police (Korlantas POLRI) recorded the number of accidents in 2018 as many as 109,215 accidents. The number has incresed 4.69 percent compared to 2017 as many as 104,327 events. Road traffic accidents are caused by human error, the driver in this case. The driver's mistake is influenced by several factors, one of them is they cannot expect the road condition when they drive a vehicle at high speed. To solve this problem, drivers need information that can show road conditions. So, we present a new approach for detecting damaged roads by applying augmented reality technology. This research produces a road condition information system to help drivers get information about road conditions via smartphone. This system uses augmented reality technology with a markerless GPS Based Tracking method. The development of this system requires several stages such as collecting the data, data conversion, data classification, and views road condition. The researchers gathered the road condition data from the Public Work Department Semarang. This department itself undertakes a task to control the road condition in Semarang The trial of this system includes all drivers in Semarang city. Based on the results of the questionnaire responded to by 93 respondents, this test obtained an average value of 68%. So this system gets a pretty good response from the driver. Through this system, all drivers can avoid the damaged road condition which can cause traffic-congested and accident.


2019 ◽  
Vol 6 (5) ◽  
pp. 190060 ◽  
Author(s):  
Amber J. Collings ◽  
Laura B. Porro ◽  
Cameron Hill ◽  
Christopher T. Richards

Some frog species, such as Kassina maculata (red-legged running frog), use an asynchronous walking/running gait as their primary locomotor mode. Prior comparative anatomy work has suggested that lateral rotation of the pelvis improves walking performance by increasing hindlimb stride length; however, this hypothesis has never been tested. Using non-invasive methods, experimental high-speed video data collected from eight animals were used to create two three-dimensional kinematic models. These models, each fixed to alternative local anatomical reference frames, were used to investigate the hypothesis that lateral rotation of the mobile ilio-sacral joint in the anuran pelvis plays a propulsive role in walking locomotion by increasing hindlimb stride length. All frogs used a walking gait (duty factor greater than 0.5) despite travelling over a range of speeds (0.04–0.23 m s −1 ). The hindlimb joint motions throughout a single stride were temporally synchronized with lateral rotation of the pelvis. The pelvis itself, on average, underwent an angular excursion of 12.71° (±4.39°) with respect to the body midline during lateral rotation. However, comparison between our two kinematic models demonstrated that lateral rotation of the pelvis only increases the cranio-caudal excursion of the hindlimb modestly. Thus, we propose that pelvic lateral rotation is not a stride length augmenting mechanism in K. maculata .


2021 ◽  
Vol 3 (5) ◽  
Author(s):  
Ines Butz ◽  
Stefan Moser ◽  
Siegfried Nau ◽  
Stefan Hiermaier

AbstractGaining insight in the complex deformation processes inside a vehicle during the process of crashing is to date only possible via numerical simulations. To validate these simulations experimentally, high speed, high-energy X-ray imaging is currently developed. So far, X-ray images have only been compared qualitatively to simulations as quantitative analysis proves challenging: Three dimensional (3D) information has to be reconstructed from two dimensional (2D) X-ray images showing overlapping parts which undergo complex deformation. We propose a novel analysis method which adapts ideas from data assimilation to reconstruct three dimensional motion and deformation from two dimensional measurements using high speed X-ray video data and finite element (FE) simulations. Furthermore, we analyze the accuracy of the approach based on an observing system simulation experiment.


Author(s):  
Aristotelis Naniopoulos ◽  
Panagiotis Tsalis

The accessibility of monuments and archaeological sites by disabled persons and persons with restricted mobility in general, constitutes a social, financial and political demand. The project “PROSPELASIS” attempted to counter this problem by focusing on creating a methodology for facing monuments' accessibility and perceptibility problems for people with disabilities and testing its application at Byzantine monuments of Thessaloniki. In six major monuments included in UNESCO's World Heritage List, significant accessibility improvements were realized. Α Wi-Fi information system was installed in all of them via which an audio and visual information system was created with audio information in three languages, description of visual information, text information, information in Greek and International Sign Language. Additionally, in Rotunda and Heptapyrgion monuments three dimensional models were developed. The successful validation of the proposed methodology constitute the results of this project not only pertinent to Thessaloniki or Greece, but worthy of a wider application.


Author(s):  
Aristotelis Naniopoulos ◽  
Panagiotis Tsalis

The accessibility of monuments and archaeological sites by disabled persons and persons with restricted mobility in general, constitutes a social, financial and political demand. The project “PROSPELASIS” attempted to counter this problem by focusing on creating a methodology for facing monuments' accessibility and perceptibility problems for people with disabilities and testing its application at Byzantine monuments of Thessaloniki. In six major monuments included in UNESCO's World Heritage List, significant accessibility improvements were realized. Α Wi-Fi information system was installed in all of them via which an audio and visual information system was created with audio information in three languages, description of visual information, text information, information in Greek and International Sign Language. Additionally, in Rotunda and Heptapyrgion monuments three dimensional models were developed. The successful validation of the proposed methodology constitute the results of this project not only pertinent to Thessaloniki or Greece, but worthy of a wider application.


2020 ◽  
Vol 2 (2) ◽  
pp. 97-105
Author(s):  
Yuming Yin ◽  
Shengbo Eben Li ◽  
Keqiang Li ◽  
Jue Yang ◽  
Fei Ma

Abstract Vehicles involved in traffic accidents generally experience divergent vehicle motion, which causes severe damage. This paper presents a self-learning drift-control method for the purpose of stabilizing a vehicle's yaw motions after a high-speed rear-end collision. The struck vehicle generally experiences substantial drifting and/or spinning after the collision, which is beyond the handling limit and difficult to control. Drift control of the struck vehicle along the original lane was investigated. The rear-end collision was treated as a set of impact forces, and the three-dimensional non-linear dynamic responses of the vehicle were considered in the drift control. A multi-layer perception neural network was trained as a deterministic control policy using the actor-critic reinforcement learning framework. The control policy was iteratively updated, initiating from a random parameterized policy. The results show that the self-learning controller gained the ability to eliminate unstable vehicle motion after data-driven training of about 60,000 iterations. The controlled struck vehicle was also able to drift back to its original lane in a variety of rear-end collision scenarios, which could significantly reduce the risk of a second collision in traffic.


Author(s):  
Robert W. Mackin

This paper presents two advances towards the automated three-dimensional (3-D) analysis of thick and heavily-overlapped regions in cytological preparations such as cervical/vaginal smears. First, a high speed 3-D brightfield microscope has been developed, allowing the acquisition of image data at speeds approaching 30 optical slices per second. Second, algorithms have been developed to detect and segment nuclei in spite of the extremely high image variability and low contrast typical of such regions. The analysis of such regions is inherently a 3-D problem that cannot be solved reliably with conventional 2-D imaging and image analysis methods.High-Speed 3-D imaging of the specimen is accomplished by moving the specimen axially relative to the objective lens of a standard microscope (Zeiss) at a speed of 30 steps per second, where the stepsize is adjustable from 0.2 - 5μm. The specimen is mounted on a computer-controlled, piezoelectric microstage (Burleigh PZS-100, 68/μm displacement). At each step, an optical slice is acquired using a CCD camera (SONY XC-11/71 IP, Dalsa CA-D1-0256, and CA-D2-0512 have been used) connected to a 4-node array processor system based on the Intel i860 chip.


2021 ◽  
Author(s):  
Scott J. Peltier ◽  
Brian E. Rice ◽  
Ethan Johnson ◽  
Venkateswaran Narayanaswamy ◽  
Marvin E. Sellers

2019 ◽  
Vol 85 (6) ◽  
pp. 53-63 ◽  
Author(s):  
I. E. Vasil’ev ◽  
Yu. G. Matvienko ◽  
A. V. Pankov ◽  
A. G. Kalinin

The results of using early damage diagnostics technique (developed in the Mechanical Engineering Research Institute of the Russian Academy of Sciences (IMASH RAN) for detecting the latent damage of an aviation panel made of composite material upon bench tensile tests are presented. We have assessed the capabilities of the developed technique and software regarding damage detection at the early stage of panel loading in conditions of elastic strain of the material using brittle strain-sensitive coating and simultaneous crack detection in the coating with a high-speed video camera “Video-print” and acoustic emission system “A-Line 32D.” When revealing a subsurface defect (a notch of the middle stringer) of the aviation panel, the general concept of damage detection at the early stage of loading in conditions of elastic behavior of the material was also tested in the course of the experiment, as well as the software specially developed for cluster analysis and classification of detected location pulses along with the equipment and software for simultaneous recording of video data flows and arrays of acoustic emission (AE) data. Synchronous recording of video images and AE pulses ensured precise control of the cracking process in the brittle strain-sensitive coating (tensocoating)at all stages of the experiment, whereas the use of structural-phenomenological approach kept track of the main trends in damage accumulation at different structural levels and identify the sources of their origin when classifying recorded AE data arrays. The combined use of oxide tensocoatings and high-speed video recording synchronized with the AE control system, provide the possibility of definite determination of the subsurface defect, reveal the maximum principal strains in the area of crack formation, quantify them and identify the main sources of AE signals upon monitoring the state of the aviation panel under loading P = 90 kN, which is about 12% of the critical load.


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