scholarly journals 3D Road Scene Monitoring Based on Real-Time Panorama

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuezhou Wu ◽  
Changjiang Liu ◽  
Shiyong Lan ◽  
Menglong Yang
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
High Precision ◽  
Motion Detection ◽  
Large Scale ◽  
Traffic Accidents ◽  
Traffic Situation ◽  
Traffic Capacity ◽  
Monitoring Framework ◽  
3D Scene

Road monitoring helps to control the regional traffic situation so as to adjust the traffic flow. Real-time panorama is conducive to timely treat traffic accidents and to greatly improve traffic capacity. This paper designs a 3D road scene monitoring framework based on real-time panorama. The system is the combination of large scale panorama, satellite map textures, and 3D scene model, in which users can ramble freely. This paper has the following contributions. Firstly, land-points were extracted followed by motion detection, then comotion algorithm was applied to land-points from adjacent cameras, and homography matrix was constructed. Secondly, reference camera was chosen and transformed to overhead viewpoint; subsequently multiviews were morphed to the same viewpoint and stitched to panorama. Finally, the registration based on high-precision GPS information between 2D road panorama and 3D scene model was also proposed. The proposed framework has been successfully applied to a large road intersection monitoring. Experimental results are furnished at the end of the paper.

A real-time control method-based simulation for high-speed trains on large-scale rail network

2017 ◽  
Vol 28 (10) ◽  
pp. 1750126 ◽  
Author(s):  
Yutong Liu ◽  
Chengxuan Cao ◽  
Yaling Zhou ◽  
Ziyan Feng
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
High Speed ◽  
Large Scale ◽  
Simulation Method ◽  
Real Time Control ◽  
Rail Network ◽  
Time Control ◽  
High Speed Trains ◽  
Rail Traffic

In this paper, an improved real-time control model based on the discrete-time method is constructed to control and simulate the movement of high-speed trains on large-scale rail network. The constraints of acceleration and deceleration are introduced in this model, and a more reasonable definition of the minimal headway is also presented. Considering the complicated rail traffic environment in practice, we propose a set of sound operational strategies to excellently control traffic flow on rail network under various conditions. Several simulation experiments with different parameter combinations are conducted to verify the effectiveness of the control simulation method. The experimental results are similar to realistic environment and some characteristics of rail traffic flow are also investigated, especially the impact of stochastic disturbances and the minimal headway on the rail traffic flow on large-scale rail network, which can better assist dispatchers in analysis and decision-making. Meanwhile, experimental results also demonstrate that the proposed control simulation method can be in real-time control of traffic flow for high-speed trains not only on the simple rail line, but also on the complicated large-scale network such as China’s high-speed rail network and serve as a tool of simulating the traffic flow on large-scale rail network to study the characteristics of rail traffic flow.

Large-Scale, Real-Time 3D Scene Reconstruction Using Visual and IMU Sensors

2020 ◽  
Vol 20 (10) ◽  
pp. 5597-5605 ◽  
Author(s):  
Changdi Li ◽  
Lei Yu ◽  
Shumin Fei
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Scene Reconstruction ◽  
3D Scene ◽  
3D Scene Reconstruction

A Design of Position Terminal Based on BDS

2014 ◽  
Vol 635-637 ◽  
pp. 1128-1131
Author(s):  
Xing Hong Kuang ◽  
Zhe Yi Yao ◽  
Shi Ming Wang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
High Precision ◽  
High Speed ◽  
Large Scale ◽  
High Efficiency ◽  
Satellite Navigation ◽  
Navigation Systems ◽  
Time Data ◽  
High Precision Measurement

With the development of economy, the global satellite navigation system with its high speed, high efficiency, high precision measurement and positioning a series of significant advantages, favored by various industry data collection and monitoring of personnel resources , the advent of satellite navigation systems to solve a large-scale, rapid and high-precision global positioning problem. Its scope of application has penetrated to the various departments of the national economic and social development in various fields and industries. To be able to monitor the progressive realization of automated data collection and transmission, the urgent need to adopt advanced positioning technology to build real-time location monitoring system PC Based Development Background navigation receiver , an overview of the inter Beidou BD-126 systems and microcontrollers can be serially the basic principle of mouth communication describes the communication protocol Compass BD-126 positioning module and the next crew between the microcontroller to control development in the use of PC positioning system for a detailed description , including the BDS Beidou satellite navigation module and microcontroller serial data communications, microprocessor controlled real-time data display , and so on

scholarly journals MONALISA: A MONITORING FRAMEWORK FOR LARGE SCALE COMPUTING SYSTEMS

2014 ◽  
pp. 351-366
Author(s):  
Ciprian Dobre ◽  
Ramiro Voicu ◽  
Iosif C. Legrand
Keyword(s):  
Global Optimization ◽  
Real Time ◽  
Network Topology ◽  
Large Scale ◽  
Network Performance ◽  
Distributed Resources ◽  
Wide Range ◽  
Global Topology ◽  
Monitoring Framework ◽  
Resource Accounting

The MonALISA (Monitoring Agents in A Large Integrated Services Architecture) framework provides a set of distributed services for monitoring, control, management and global optimization for large scale distributed systems. It is based on an ensemble of autonomous, multi-threaded, agent-based subsystems which are registered as dynamic services. They can be automatically discovered and used by other services or clients. The distributed agents can collaborate and cooperate in performing a wide range of management, control and global optimization tasks (such as network monitoring, resource accounting) using real time monitoring information. MonALISA includes a coherent set of network management services to collect in near real-time information about the network topology, the main data flows, traffic volume and the quality of connectivity. A set of dedicated modules were developed in the MonALISA framework to periodically perform network measurements tests between all sites. We developed global services to present in near real-time the entire network topology used by a community. The time evolution of global network topology is shown in a dedicated GUI. Changes in the global topology at this level occur quite frequently and even small modifications in the connectivity map may significantly affect the network performance. The global topology graphs are correlated with active end-to-end network performance measurements, done using the Fast Data Transfer application, between all sites. Access to both real-time and historical data, as provided by MonALISA, is also important for developing services able to predict the usage pattern, to aid in efficiently allocating resources globally. For resource accounting, MonALISA collects information regarding the amounts of resources consumed by the users, which represent virtual organizations in a large scale distributed system. Besides providing statistical information, an accounting system can also be the base for managing distributed resources upon an economic model. In the MonALISA monitoring framework we developed modules that provide accounting facilities, collecting information from cluster managers like Condor, PBS, LSF and SGE. The usage statistic s is used for an intelligent management of the resources.

Intelligent Robot Obstacle Avoidance Perception Method Using a High-Precision Laser Distance Measuring System

2021 ◽  
Vol 16 (3) ◽  
pp. 471-478
Author(s):  
Yuzhou Liu
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Obstacle Avoidance ◽  
High Precision ◽  
Large Scale ◽  
Measuring System ◽  
Channel Modulation ◽  
Avoidance Control ◽  
Modulation Signal ◽  
Distance Measuring

Laser distance measuring is increasingly used in large-scale and real-time scanning measurement, including three-dimensional map construction, size measurement of large-scale buildings, and real-time surface information acquisition. Therefore, there are high-precision and high-efficiency requirements for the laser distance measuring system. Based on the phase laser distance measuring, a laser parallel distance measuring system is proposed as per the frequency division multiplexer principle. The system uses multi-channel modulation signals with different frequencies to drive multiple lasers to emit light intensity in parallel, and then the light wave is measured according to the change of the modulation signal. The single-channel modulation signal adopts the multi-scale composite wave to eliminate the uncertainty of the whole wavelength by using the combination of two scales and distance measurement. The multiple echo signals after diffuse reflection of the measured target are mixed and received by the same photodetector and go through signal amplification, clutter filtering, etc., and then are sent to the mixing unit together with the reference signal, followed by down-frequency processing, with the effective signal obtained through the low-frequency filter. In the experiment, the laser distance measuring system is used for obstacle avoidance control of mobile robots, and fuzzy control is used to design the corresponding obstacle avoidance controller. The robot lateral deviation and heading angle are used as the input of the fuzzy controller, and the track variation is the output. The test verifies that the obstacle avoidance control is effective, that is, the laser distance measuring system designed in this research can be used for the obstacle avoidance control of mobile robots.

scholarly journals A Study for Drowsy Detection & Prevention System

2021 ◽  
Vol 10 (1) ◽  
pp. 67-72
Author(s):  
Byeongtae Ahn*
Keyword(s):  
Carbon Dioxide ◽  
Real Time ◽  
Large Scale ◽  
Traffic Accidents ◽  
Detection System ◽  
Ordinary People ◽  
Recognition Method ◽  
Drowsy Driving ◽  
Prevention System ◽  
Serious Injury

Recently, the casualties of automobile traffic accidents are rapidly increasing, and serious accidents involving serious injury and death are increasing more than those of ordinary people. More than 70% of major accidents occur in drowsy driving. Therefore, in this paper, we studied the drowsiness prevention system to prevent large - scale disasters of traffic accidents. In this paper, we propose a real - time flicker recognition method for drowsy driving detection system and drowsy recognition according to the increase of carbon dioxide. The efficiency of the drowsiness prevention system using these two techniques is improved.

Design of Highway Intelligent Vehicle Guidance System

2018 ◽  
Vol 876 ◽  
pp. 177-180 ◽  
Author(s):  
Jie Liang ◽  
Qiu Hua Miao ◽  
Wen Hui Si ◽  
Jing Lu
Keyword(s):  
Real Time ◽  
High Precision ◽  
Early Warning ◽  
Traffic Accidents ◽  
Guidance System ◽  
Intelligent Vehicle ◽  
Vehicle Guidance ◽  
Real Time Monitoring ◽  
Inclement Weather

Now the highway’s traffic accidents are often taken place because of the influence of fog and other inclement weather. The accidents cause a very big loss to people's life and property. Therefore, it plays an important part in all-weather real-time monitoring, analyzing and early warning effectively. In this paper, a highway intelligent vehicle guidance system is developed to avoid traffic accidents occurring in highway. The system can greatly reduce the traffic accidents caused by mass of fog. The result shows that the system has high precision and reliability.

scholarly journals Basic Study on Expressway Congestion Mitigation using Cellular Automata

2021 ◽  
Vol 10 (3) ◽  
pp. 164-169
Author(s):  
Kodai Miyamoto ◽  
◽  
Taketo Kamasaka ◽  
Makoto Sakamoto ◽  
Tsunehiro Yoshinaga ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Social Problem ◽  
Traffic Congestion ◽  
Traffic Accidents ◽  
Traffic Simulation ◽  
Environmental Problems ◽  
Economic Losses ◽  
Basic Study ◽  
Traffic Capacity

Traffic congestion has become a serious social problem in Japan. In particular, traffic congestion causes enormous time and economic losses on expressways, which are intended to facilitate smooth traffic flow. It also causes environmental problems and a decrease in logistics efficiency, so efforts to eliminate or reduce traffic congestion are essential. The elimination and mitigation of traffic congestion on highways is a factor in reducing traffic accidents and fatalities. In recent years, with the improvement of computing capabilities, research on traffic congestion reduction and mitigation has been conducted using traffic simulation. Traffic simulation allows us to reproduce and evaluate traffic phenomena that occur on roads on a computer. The Kakuto Tunnel is located on the border between Ebino City in Miyazaki Prefecture and Hitoyoshi City in Kumamoto Prefecture. The Kakuto Tunnel has insufficient traffic capacity and is frequently congested on holidays. In this study, we created a traffic simulator assuming the Kakuto Tunnel. In the simulation, we examined the effectiveness of increasing the number of lanes as a method of reducing traffic congestion.

The Research on Real-Time Collision Detection of Large-Scale Complex Dynamic Scene

2013 ◽  
Vol 433-435 ◽  
pp. 1926-1929
Author(s):  
Wei Zhao ◽  
Ying Zhang
Keyword(s):  
Real Time ◽  
Collision Detection ◽  
Large Scale ◽  
Moving Objects ◽  
Algorithm Design ◽  
Detection Algorithm ◽  
Dynamic Scenes ◽  
Complex Dynamic ◽  
Time Simulation ◽  
3D Scene

The rapid real-time collision detection is one of technical difficulties in large-scale simulation of complex dynamic scenes. Complex large-scale real-time scenario, demands of users on the efficiency and the accuracy of collision detection is higher and higher, which has made it become the subject of people to study. Based on the domestic and foreign existing collision detection algorithm, improved the process of collision detection framework, designed and implemented parallel collision detection with method of SIMD technology and multithreading programming, and made combination of these used in the collision detection of complex and dynamic scenes. Experimental results show that the algorithm design made the object in large and complex space of the 3D scene could be achieved real-time simulation. And the method solved the graphic images of moving objects and undetected penetration phenomena, shorten the detection time and response time of the collision for deformation object, increased the realism and immersion.

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