scholarly journals High-Accuracy Tracking Using Ultrawideband Signals for Enhanced Safety of Cyclists

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Davide Dardari ◽  
Nicoló Decarli ◽  
Anna Guerra ◽  
Ashraf Al-Rimawi ◽  
Víctor Marín Puchades ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Real Time ◽  
High Accuracy ◽  
Experimental Results ◽  
Localization Error ◽  
Localization System ◽  
Dynamic Conditions ◽  
The Road ◽  
Road Users

In this paper, an ultrawideband localization system to improve the cyclists’ safety is presented. The architectural solutions proposed consist of tags placed on bikes, whose positions have to be estimated, and anchors, acting as reference nodes, located at intersections and/or on vehicles. The peculiarities of the localization system in terms of accuracy and cost enable its adoption with enhanced risk assessment units situated on the infrastructure/vehicle, depending on the architecture chosen, as well as real-time warning to the road users. Experimental results reveal that the localization error, in both static and dynamic conditions, is below 50 cm in most of the cases.

scholarly journals Real-Time Dry Beach Length Monitoring for Tailings Dams Based on Visual Measurement

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jun Hu ◽  
Shan Hu ◽  
Fei Kang ◽  
Jianhua Zhang
Keyword(s):  
Real Time ◽  
Health Monitoring ◽  
Reliable Method ◽  
High Accuracy ◽  
Experimental Results ◽  
Tailings Dam ◽  
Visual Measurement ◽  
Tailings Dams ◽  
Novel Method ◽  
Length Determination

The length of dry beach is an important factor that influences the safety of tailings dams. However, there still is no accurate and reliable method that can conveniently measure the length of dry beach. In this paper, the authors focus on developing a novel method for dry beach length determination. The proposed method can effectively measure the dry beach length through an ordinary camera and four marking rods placed on the dry beach. Experimental results show that the proposed method can conveniently measure the dry beach length with high accuracy, and therefore it can be adopted as an effective method in tailings dam real-time health monitoring.

scholarly journals Prevention of Unintended Appearance in Photos Based on Human Behavior Analysis

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 468
Author(s):  
Yuhi Kaihoko ◽  
Phan Xuan Tan ◽  
Eiji Kamioka
Keyword(s):  
Social Networks ◽  
Dynamic Programming ◽  
Behavior Analysis ◽  
Real Time ◽  
Human Behavior ◽  
Social Problem ◽  
High Accuracy ◽  
Experimental Results ◽  
Surrounding Environment ◽  
Human Behavior Analysis

Nowadays, with smartphones, people can easily take photos, post photos to any social networks, and use the photos for various purposes. This leads to a social problem that unintended appearance in photos may threaten the facial privacy of photographed people. Some solutions to protect facial privacy in photos have already been proposed. However, most of them rely on different techniques to de-identify photos which can be done only by photographers, giving no choice to photographed person. To deal with that, we propose an approach that allows a photographed person to proactively detect whether someone is intentionally/unintentionally trying to take pictures of him. Thereby, he can have appropriate reaction to protect the facial privacy. In this approach, we assume that the photographed person uses a wearable camera to record the surrounding environment in real-time. The skeleton information of likely photographers who are captured in the monitoring video is then extracted and put into the calculation of dynamic programming score which is eventually compared with a threshold for recognition of photo-taking behavior. Experimental results demonstrate that by using the proposed approach, the photo-taking behavior is precisely recognized with high accuracy of 92.5%.

CITY TRANSPORT MONITORING AND ROUTES OPTIMAL MANAGEMENT SYSTEM

Transport ◽  
2008 ◽  
Vol 23 (2) ◽  
pp. 144-149 ◽  
Author(s):  
Jonas Daunoras ◽  
Vaclovas Bagdonas ◽  
Vytautas Gargasas
Keyword(s):  
Real Time ◽  
Processing System ◽  
Traffic Monitoring ◽  
Transport Infrastructure ◽  
Traffic Density ◽  
The Road ◽  
Road Users ◽  
Characteristic Points ◽  
Analytical Formulas ◽  
Further Development

The article analyses the problem of further development of geographic informational systems with traffic monitoring channel (GIS‐TMC) in order to present the road users with effective information about the fastest (the shortest in respect of time) routes and thus to improve the use of existing city transport infrastructure. To solve this task it is suggested to create dynamic (automatically updated in real time) street passing duration base, for support of which a city transport monitoring system operating in real time is necessary, consisting of a network of sensors, a data collection communications system and a data processing system. In the article it is shown that to predict the street passing duration it is enough to measure speed of transport in the characteristic points of the street. Measurements of traffic density do not significantly improve accuracy of forecasting the street passing time. Analytical formulas are presented meant to forecast the street passing time.

scholarly journals Risk analysis on implementation of road maintenance project with STEPLE method in Badung, Bali

2019 ◽  
Vol 276 ◽  
pp. 02012
Author(s):  
Ida Bagus Rai Adnyana ◽  
Dewa Ketut Sudarsana
Keyword(s):  
Risk Assessment ◽  
Risk Mitigation ◽  
Road Maintenance ◽  
The Road ◽  
Road Users ◽  
Surrounding Environment ◽  
Assessment Matrix ◽  
Mitigation Effort ◽  
Descriptive Method

In the implementation of the road maintenance project always risks arise. These risks have an impact on stakeholders related to the execution of the project, the community of road users and the surrounding environment. These risks need to be studied, managed, and assessed as a risk-mitigation effort for stakeholders. As the case study is the district road maintenance project, in Badung regency of Bali. Descriptive method used in the study. Identification of variable risk used STEPLE (Social, Technology, Economy, Politics, Legal, and Environment) method. The factors STEPLE is identified through literature review and brainstorming, then used as a questionnaire instrument. Respondents are experts involved in road maintenance projects in Badung regency. Risk assessment uses a risk assessment matrix. The results of the study found 36 risks. These risks are identified as dominant from the Technical variable that is 13 risks. Risk assessment found is 6 risks classified as unacceptable, and 30 risk classified as undesirable.

scholarly journals Real-Time Video Processing using Contour Numbers and Angles for Non-urban Road Marker Classification

2018 ◽  
Vol 8 (4) ◽  
pp. 2540
Author(s):  
Zamani Md Sani ◽  
Hadhrami Abd Ghani ◽  
Rosli Besar ◽  
Azizul Azizan ◽  
Hafiza Abas
Keyword(s):  
Real Time ◽  
Video Processing ◽  
Processing Time ◽  
Region Of Interest ◽  
Adaptive Smoothing ◽  
Urban Road ◽  
The Road ◽  
Road Users ◽  
Average Accuracy ◽  
On The Road

Road users make vital decisions to safely maneuver their vehicles based on the road markers, which need to be correctly classified. The road markers classification is significantly important especially for the autonomous car technology. The current problems of extensive processing time and relatively lower average accuracy when classifying up to five types of road markers are addressed in this paper. Two novel real time video processing methods are proposed by extracting two formulated features namely the contour number, , and angle, 𝜃 to classify the road markers. Initially, the camera position is calibrated to obtain the best Field of View (FOV) for identifying a customized Region of Interest (ROI). An adaptive smoothing algorithm is performed on the ROI before the contours of the road markers and the corresponding two features are determined. It is observed that the achievable accuracy of the proposed methods at several non-urban road scenarios is approximately 96% and the processing time per frame is significantly reduced when the video resolution increases as compared to that of the existing approach.

scholarly journals Prevention of Unintended Appearance in Photos Based on Human Behaviors Analysis

2020 ◽  
Author(s):  
Yuhi Kaihoko ◽  
Phan Xuan Tan ◽  
Eiji Kamioka
Keyword(s):  
Social Networks ◽  
Dynamic Programming ◽  
Real Time ◽  
Social Problem ◽  
High Accuracy ◽  
Experimental Results ◽  
Human Behaviors ◽  
Surrounding Environment ◽  
Wearable Camera

Nowadays, with smartphones people can easily take photos, post photos to any social networks and use the photos for some purposes. This leads to a social problem that unintended appearance in photos may threaten the privacy of photographed person. Some solutions to protect facial privacy in photos have already been proposed. However, most of them rely on different techniques to de-identify photos which can be done only by photographers, giving no choice to photographed person. To deal with that, we propose an approach that allows photographed person to proactively detect whether someone is intentionally/unintentionally trying to take pictures of him/her. Thereby, he/she can have appropriate reaction to protect the privacy. In this approach, we assume that the photographed person uses a wearable camera to record the surrounding environment in real-time. The skeleton information of likely photographers who are captured in the monitoring video is then extracted to be put into the calculation of dynamic programming score which is eventually compared with a threshold for recognition of photo-taking behavior. Experimental results demonstrate that by using the proposed approach, the photo-taking behavior is precisely recognized with high accuracy of 92.5%.

P-like controllers with collision avoidance for passive bilateral teleoperation of a UAV

2018 ◽  
Vol 45 (1) ◽  
pp. 152-166 ◽  
Author(s):  
Huiyu Sun ◽  
Guangming Song ◽  
Zhong Wei ◽  
Ying Zhang
Keyword(s):  
Real Time ◽  
Collision Avoidance ◽  
High Accuracy ◽  
Experimental Results ◽  
Linear Matrix ◽  
Time Varying ◽  
Bilateral Teleoperation ◽  
Content Type ◽  
Teleoperation System ◽  
The Stability

Purpose This paper aims to tele-operate the movement of an unmanned aerial vehicle (UAV) in the obstructed environment with asymmetric time-varying delays. A simple passive proportional velocity errors plus damping injection (P-like) controller is proposed to deal with the asymmetric time-varying delays in the aerial teleoperation system. Design/methodology/approach This paper presents both theoretical and real-time experimental results of the bilateral teleoperation system of a UAV for collision avoidance over the wireless network. First, a position-velocity workspace mapping is used to solve the master-slave kinematic/dynamic dissimilarity. Second, a P-like controller is proposed to ensure the stability of the time-delayed bilateral teleoperation system with asymmetric time-varying delays. The stability is analyzed by the Lyapunov–Krasovskii function and the delay-dependent stability criteria are obtained under linear-matrix-inequalities conditions. Third, a vision-based localization is presented to calibrate the UAV’s pose and provide the relative distance for obstacle avoidance with a high accuracy. Finally, the performance of the teleoperation scheme is evaluated by both human-in-the-loop simulations and real-time experiments where a single UAV flies through the obstructed environment. Findings Experimental results demonstrate that the teleoperation system can maintain passivity and collision avoidance can be achieved with a high accuracy for asymmetric time-varying delays. Moreover, the operator could tele-sense the force reflection to improve the maneuverability in the aerial teleoperation. Originality/value A real-time bilateral teleoperation system of a UAV for collision avoidance is performed in the laboratory. A force and visual interface is designed to provide force and visual feedback of the slave environment to the operator.

scholarly journals Accelerating Learning of Route Choices With C2I: A Preliminary Investigation

2020 ◽  
Author(s):  
Guilherme Santos ◽  
Ana Bazzan
Keyword(s):  
Reinforcement Learning ◽  
Iterative Method ◽  
Learning Process ◽  
Preliminary Investigation ◽  
Experimental Results ◽  
Choice Problem ◽  
The Road ◽  
Road Users ◽  
Infrastructure Network ◽  
Effectiveness And Efficiency

How to choose a route that takes you from A to B? This is an issue that is turning more and more important in modern societies. One way to address this agenda is through the use of communication between the infrastructure (network), and the demand (vehicles). In this paper, we use car-to-infrastructure (C2I) communication to investigate whether the road users (agents) can accelerate their learning process regarding route choice problem, via reinforcement learning (RL). We employ a microscopic simulator in order to compare our method with two others: RL without communication and an iterative method. Experimental results show that our method outperforms both methods in terms of effectiveness and efficiency.

Development and Application of Quality Control System for Highway Subgrade Construction

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Tong Wang
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Detection Method ◽  
System Development ◽  
Effective Control ◽  
Construction Process ◽  
Development Mode ◽  
The Road ◽  
Whole Process

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.

An Implicit to Explicit FEA Solving of Tire F&M with Detailed Tread Blocks

2012 ◽  
Vol 40 (2) ◽  
pp. 83-107 ◽  
Author(s):  
Zhao Li ◽  
Ziran R. Li ◽  
Yuanming M. Xia
Keyword(s):  
Test System ◽  
Mapping Method ◽  
Friction Model ◽  
Experimental Results ◽  
Slip Angle ◽  
Slip Ratio ◽  
The Road ◽  
Numerical Noise ◽  
Nonlinear Stress ◽  
Solving Strategy

ABSTRACT A detailed tire-rolling model (185/75R14), using the implicit to explicit FEA solving strategy, was constructed to provide a reliable, dynamic simulation with several modeling features, including mesh, material modeling, and a solving strategy that could contribute to the consideration of the serious numerical noises. High-quality hexahedral meshes of tread blocks were obtained with a combined mapping method. The actual rubber distributing and nonlinear, stress-strain relationship of the rubber and bilinear elastic reinforcement were modeled for realism. In addition, a tread-rubber friction model obtained from the Laboratory Abrasion and Skid Tester (LAT 100) was applied to simulate the interaction of the tire with the road. The force and moment (F&) behaviors of tire cornering when subjected to a slip-angle sweep of −10 to 10° were studied with that model. To demonstrate the efficiency of the proposed simulation, the computed F&M were compared with experimental results from an MTS Flat-Trac Tire Test System. The computed cornering F&M agreed well with the experimental results, so the footprint shape and contact pressure distribution of several cornering conditions were investigated. Furthermore, the longitudinal forces in response to braking/driving torque application in a slip-ratio range of −100% to 100% were computed. The proposed FEA solution confines the numerical noise within a smaller range and can serve as a valid tool in tire design.

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