A system for the photogrammetric evaluation of digitized high-speed images in the automobile industry

Author(s):  
Robert Godding
2014 ◽  
Vol 1030-1032 ◽  
pp. 2182-2186
Author(s):  
Ling Yan Ge ◽  
Bi Feng Zhu

With the rapid development of urbanization in China and the motorization’s fast pace of high speed as well as the national automobile industry process, many cities in our country have been facing a huge problem - traffic congestion in recent years. And the essence of the problem is the imbalance between road traffic supply and traffic demand in the process of urban development. Aimed at the problem of traffic congestion, this paper based on Hangzhou city’s traffic congestion index of monitoring data from testing platform and statistical data from field survey , studied the Hangzhou east area of road traffic running situation, analyzed the causes of the east area of Hangzhou road congestion, and thus to adjust and optimize the road traffic system of the area, put forward reasonable system solutions and proposals to improve the management level


2012 ◽  
Vol 627 ◽  
pp. 456-460 ◽  
Author(s):  
Adnan Mazari ◽  
Antonin Havelka

Needle heatup is a big issue for apparel industry especially for automobile industry seat covers where a lot of synthetic materials are used which get damaged by needle heat at high speed of sewing machine,in this article thermocamera and thermocouple are used to measure the precise temperature of needle eye and then 100% polyester 35x3 Tex thread is taken for sewing,the lockstitch sewing machine is run at 1000rpm,2000rpm and 3000rpm respectively and the both methods are used to obtain the accurate needle temperature and finally thread tensile properties are measured before the sewing and taking out the thread from the seam precisely to get the tensile properties of thread after 10,30 and 60 seconds of continuous stitching,the article is very helpful in predicting the exact temperature of needle in lock stitch machine and getting the damage to thread by the needle heat at different speeds and different stages of sewing process.


2011 ◽  
Vol 243-249 ◽  
pp. 1731-1736
Author(s):  
Xin Yue ◽  
Ting Wan

Under the great background of economic globalization, high-speed development of airplane and automobile industry as well as Harbin Aviation and Automobile Industry City as one of national aviation industry bases, this paper conducts a systemic study on Harbin Aviation and Automobile Industry City. Upon the basis of study on the development background as well as current situation of the industry city, regional overall planning, land utilization, urban function, ecological landscape and culture as well as other planning and development strategies of the industry are mainly discussed in this paper, and, hereby planning prospects are put forward so as to provide certain reference for the planning and construction of industry cities.


2018 ◽  
Vol 15 (4) ◽  
pp. 172988141879071
Author(s):  
Zhulin Zhang ◽  
Dong Ding ◽  
Luchuan Yu ◽  
Xianjin Zhao ◽  
Jianhua Zhang ◽  
...  

High-speed press lines are related to the fierce competition in the automobile industry and rely on continuous high-efficiency automated feeding systems. Kinematic simulation systems have facilitated the improvement of production processes by generating real-time kinematic curves to avoid interference in feeding systems. In this article, a new method based on quintic polynomials in MATLAB and ADAMS is introduced to achieve whole-line planning using a kinematic simulation system for path planning. Furthermore, secondary interface is developed to visualize the kinematic curves and animate the generated whole-line trajectories. The kinematic simulation system was found to improve the efficiency of generating predicted trajectories in joint or Cartesian space and achieved reliable whole-line path planning, including collision inspection and singular point detection, by using parametric modeling and analyzing kinematic curves. Finally, the kinematic simulation system was verified using results of a kinematic analysis and example simulation.


Author(s):  
Yutai Rao ◽  
Fan Yang

Smart cars are the result of the combination of the latest technological achievements in the fields of artificial intelligence, sensors, control science, computer, and network technology with the modern automobile industry. Intelligent cars usually have functions, such as automatic shifting, automatic driving, and automatic road condition recognition. The research of intelligent car technology involves many disciplines. This thesis focuses on the field of smart car visual navigation, focusing on image denoising, image information recognition, extraction, and pattern recognition control algorithms. The traditional trajectory tracking algorithm is mainly used in industrial computer or high-performance computer. The computational complexity leads to poor real-time control, and it is easily interfered by external complex terrain environment and internal disordered electromagnetic environment during vehicle driving. In general, on a regular basis, by the image analysis of the driver or the driver information, the image information is proposed using way trace processing technology, vehicle tracking control method and automatic driving rules. The simulation and experimental results show that the proposed control methods and rules used to carry out automatic driving vehicle are feasible. The algorithm reduces the complexity of the algorithm, improves the real-time and stability of the control and finally achieves a good trajectory tracking effect of the car on high-speed automatic driving.


2021 ◽  
Vol 2108 (1) ◽  
pp. 012072
Author(s):  
Hongqi Wang ◽  
Shouman Chen ◽  
Yahong Wen ◽  
Chaofan Zhou

Abstract Unmanned driving is the future development direction of the automobile industry, and intelligent driving detection is one of the important research topics. In order to improve driverless technology and traffic safety, this design is based on FPGA technology to design a driving detection system, combined with off-chip SDRAM’s high-speed, large-capacity cache and image processing related algorithms, and it will achieve the function of acquiring target image, cache, detection and display. Finally, the FPGA development board is used to test the driving detection system, which demonstrates that this driving detection system can better improve the safety monitoring problems in unmanned driving. At the same time, the system’s frame rate is close to 55pfs, which has practical significance and application value.


2011 ◽  
Vol 383-390 ◽  
pp. 6277-6282
Author(s):  
Kyung Han Kim ◽  
Kwang Ho Yoon ◽  
Jae Hoon Lee ◽  
Jeong Suh ◽  
Jong Soo Kim

This paper presents an on-the-fly method to synchronize a laser scanner and a linear stage for fast and wide area fabrication. Demands for high-precision laser processing with wide area have been increasing for a number of applications such as in solar cell batteries, display parts, electronic components, and the automobile industry. An ultra high-speed laser scanner system is limited by its size of scanning area, for example, its scanning area is only 50 × 50 mm2. Recently, a laser scanner system that could scan a wide area was developed; however, it was found that the scanning quality of this scanner decreased with an increase in the scanning area. The developed method is different from the existing step and scanning method in that it our method ensures continuous stage movement, which may improve the processing speed and in turn the laser fabrication quality.


Author(s):  
Tavo Kangru ◽  
Jüri Riives ◽  
Tauno Otto ◽  
Meelis Pohlak ◽  
Kashif Mahmood

Manufacturing is moving towards complexity, large integration, digitalization and high flexibility. A combination of these characteristics is a basic for forming a new kind of production system, known as Cyber Physical System (CPS). CPS is a board range of complex, multidisciplinary, physically-aware next generation engineered systems that integrates embedded computing technologies. Those integrated manufacturing systems usually consist of four levels: network, enterprise, production system and workplace. In this article we are concentrated to the workplace level, examining the implementation of the most suitable robot-cell and integration it into the production system and enterprise structure. The problem is actual for the big companies such as automobile industry, but very important is also for small and medium sized enterprises (SMEs) that tend to produce for example; small tractors, air conditioners for high speed trains or even different type of doors for houses. In all cases the best solution to response the situation is the implementation of robot-based manufacturing cell into a production system, which is not only a challenge but also need a lot of specific knowledge. Designing and selecting optimal solutions for robot-based manufacturing systems is suitable to carry out by a computer-based decision support systems (DSS). DSS typically works by ranking, sorting or choosing among the alternatives. This article emphasis to the problem of integration the DSS with the artificial intelligence (AI) tools. For this objective, the study has been focused to development of a conceptual model for assessing robot-based system by means of technical and functional capabilities, which is combined with cell efficiency based on process Key Performance Indicators (KPIs) and enterprise Critical Success Factors (CSFs). The elaborated model takes into consideration system design parameters, product specific indicators, process execution data, production performance parameters and estimates how the production cell objective can be achieved. Ten different types of companies were selected and their robot-based manufacturing systems were mapped by qualitative and quantitative factors based on the model, whereas executives were interviewed to determine companies’ strategic objectives. The study results comprise of an approach that helps SMEs to gain additional economic-technical information for decision making at different levels of a company.


Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1334
Author(s):  
Hsiu-Ying Hwang ◽  
Tian-Syung Lan ◽  
Jia-Shiun Chen

Electric vehicles are a major trend in research and development in the automobile industry. A vehicle’s handling ability is changed when the structure of the power system is altered, which is more obvious in medium-sized buses with higher load and a longer body whose body stiffness is relatively less stiff. In this context, flexible multi-body dynamic modeling, instead of rigid body modeling, is used to reflect the stiffness effects of the vehicle body and chassis systems. A control strategy is developed with an active variable stiffness anti-roll bar to improve vehicle handling characteristics by using the flexible body dynamic simulation with consideration of the step and single sinusoidal steering input tests. Through simulation, it was learned that the proposed control strategy could reduce the time of stabilization by 54.08% and suppress undesired handling behaviors in the step steering input test. Moreover, at high speed, the original unsteady condition became stabilized with little sacrifice in yaw velocity. In the single sinusoidal steering input test, the time of stabilization could be reduced by 8.43% and with 14.6% less yaw angle changes in the improved design. The overall handling was improved.


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