Detection on Proper Wearing of Seat Belt Based on Infrared Mark Vision

针对安全带佩戴规范性仍未引起充分重视的现实问题,借助具有红外敏感表面涂层标记的三点式安全带,基于标记视觉和图像处理技术提出一种安全带佩戴规范性的; 集成检测方法:利用增强现实技术快速识别定位安全带标记,在此基础上分别设计数量阈值算法、模糊聚类阈值算法、曲线拟合松弛度算法和肩部外轮廓交点定位算; 法,用以进行安全带是否佩戴和佩戴形式、松紧程度、高低位置是否规范等4种判断,从而实现安全带是否规范佩戴的检测目标。实验结果表明,在各种成像条件和; 图像背景干扰下,对应上述4种判断的识别准确率分别为95.4%, 93.1%,; 79.5%和85.3%,而安全带佩戴规范性的综合识别准确率达89.5%,验证了所提出算法的准确性、有效性和适应能力。In view of the problem that whether seat belt is properly used or not; haven't yet attracted sufficient attention,an integrated detection; method of the proper use of seat belt is proposed by means of the; three-point safety belt with infrared-ray-sensitive coat marks and based; on mark vision and image processing technologies: Augmented reality; technology is used to rapidly identify and locate the marks on seat; belt,based on which the algorithms of number threshold,fuzzy clustering; threshold,curve fitting relaxation and shoulder profile intersection; locating are developed respectively to conduct four judgments of weather; seat belt is used or not,the wearing forms of seat belt, belt tightness; and belt height,and hence achieve the detection goal of the proper use; of seat belt. Experiment results show that under various image forming; conditions and image background interferences,the identification; accuracies of the algorithms used corresponding to above mentioned four; judgments are 95.4%,93.1%,79.5% and 85.3% respectively with an overall; identification accuracy of 89.5%,verifying the correctness,effectiveness; and adaptability of the algorithms proposed.国家自然科学基金; 福建省自然科学基

Preproessing and modeling for visual-based 3D indoor scene reconstruction

Conference Name:8th International Conference on Computer Science and Education, ICCSE 2013. Conference Address: Colombo, Sri lanka. Time:August 26, 2013 - August 28, 2013.In this paper, we present a visual-based method for 3D modeling of indoor scene via mobile robot equipped with a depth camera, which can both acquire color image and dense point cloud. The raw data obtained from depth camera are noisy and non-uniformed, so a set of preprocessing methods, which consists down-sampling with volumetric pixel grid filter, statistical-based outlier removal, moving least square-based interpolation, is conducted to enhance and consolidate the data. A combination of scale invariant feature transform (SIFT) features and iterative closet point (ICP) are performed to estimate the pose of robot for frame alignment. The matched SIFT feature pairs calculated on color images of two frames are used to compute a rigid transformation matrix, which is considered as the initial transformation matrix estimation of ICP algorithm. A dense map is built by aligning of multiple frames, and a compact surface model is achieved by surface reconstruction on dense map using greedy triangulation method. Experiment result showed the method is easy to apply for indoor scene reconstruction and can be executed in nearly real time. ? 2013 IEEE

Image-based orchard insect automated identification and classification method

Department of Entomology, Michigan State University; USDA-ARS Post-harvest Lab, East Lansing, MIInsect identification and classification is time-consuming work requiring expert knowledge for integrated pest management in orchards. An image-based automated insect identification and classification method is described in the paper. The complete method includes three models. An invariant local feature model was built for insect identification and classification using affine invariant local features; a global feature model was built for insect identification and classification using 54 global features; and a hierarchical combination model was proposed based on local feature and global feature models to combine advantages of the two models and increase performance. The three models were applied and tested for insect classification on eight insect species from pest colonies and orchards. The hierarchical combination model yielded better performance over global and local models. Moreover, to study the pose change of insects on traps and the hypothesis that an optimal time to acquire and image after landing exists, advanced analysis on time-dependent pose change of insects on traps is included in this study. The experimental results on field insect image classification with field-based images for training achieved the classification rate of 86.6% when testing with the combination model. This demonstrates the image-based insect identification and classification method could be a potential way for automated insect classification in integrated pest management. (C) 2012 Elsevier B.V. All rights reserved

General environment integrated monitoring and data management system based on virtual instrument

Conference Name:2nd International Conference of Electrical and Electronics Engineering, ICEEE 2011. Conference Address: Macau, China. Time:December 1, 2011 - December 2, 2011.International Industrial Electronics CenterFor the lack of integrated and advanced monitoring method and equipment, the existing general environment evaluation methods cannot entirely collect and analyze the monitoring parameters, which objectively reflect the condition of general environment, so an integrated monitoring and data management system for general environment based on virtual instrument technology is proposed in this paper. The monitoring and data management system which adopts a NI CompactDAQ data acquisition system functioning high speed real-time collection of multi-parameters of climate (temperature, wind speed, solar radiation), air quality (formaldehyde, benzene, radon, etc) soil and water quality, etc. Employing the LabVIEW programming tool, the software system was developed with friendly graphical user interface, which can display the real-time monitoring results of the multi-parameters mentioned above. Moreover, the LabSQL kit is used to access the database to search historical records of every parameter, summarize the trend of environment change and further objectively evaluate the condition of environment. This system can be used as parameter acquisition instrument for general environment, and provides a new way for evaluation of the general environment. 漏 2012 Springer-Verlag

Modelling of stable angle-based instability threat indicator for articulated off-road vehicles

This paper presents the modelling and simulation of a stable angle-based instability threat indicator for articulated off-road vehicles. First, a stable angle is represented by the vertical forces of four wheels and steering angle of an off-road articulated steer vehicle. Then a vehicle prototype model is built based on a specific wheel loader type and a tyre/terrain model. Finally, the prototype model and tyre/terrain model are imported to the multi-body dynamics analysis software-ADAMS to conduct a number of simulations using the stable angle-based instability threat indicator. Simulation results indicate that a stable angle of 80.5° is the threshold angle for lateral instability, and a stable angle of 90° is the threshold angle for longitudinal instability of this model. Compared with the traditional instability indicating methods for off-road vehicles, the proposed stable angle-based method is more efficient and can deal with both lateral and longitudinal instability of an articulated vehicle effectively. Copyright ? 2014 Inderscience Enterprises Ltd

Object Detection in Terrestrial Laser Scanning Point Clouds Based on Hough Forest

National Science Foundation of China [61371144]This letter presents a novel rotation-invariant method for object detection from terrestrial 3-D laser scanning point clouds acquired in complex urban environments. We utilize the Implicit Shape Model to describe object categories, and extend the Hough Forest framework for object detection in 3-D point clouds. A 3-D local patch is described by structure and reflectance features and then mapped to the probabilistic vote about the possible location of the object center. Objects are detected at the peak points in the 3-D Hough voting space. To deal with the arbitrary azimuths of objects in real world, circular voting strategy is introduced by rotating the offset vector. To deal with the interference of adjacent objects, distance weighted voting is proposed. Large-scale real-world point cloud data collected by terrestrial mobile laser scanning systems are used to evaluate the performance. Experimental results demonstrate that the proposed method outperforms the state-of-the-art 3-D object detection methods

An environmental factors-based automatic control system for folding arm awning

Conference Name:2nd International Conference on Advances in Materials and Manufacturing Processes (ICAMMP 2011). Conference Address: Guilin, PEOPLES R CHINA. Time:DEC 16-18, 2011.This paper developed an automatic control system for folding arm awning based on environmental factors, which can overcome the disadvantages of the traditional awning of unitary control mode and low level of intelligence. The system consists of sensor unit, controller, drive motor and transmission mechanism. The sensor unit is used for testing light intensity, wind speed and rain, then an AT89S52 SCM single-chip microcomputer which is the core of the controller is applied to receive testing signal and send instructions to AC motor to realize the extending and withdrawing state of the awning according to the corresponding control logic. Meanwhile, this system is able to switch from automatic control to manual control so as to deal with power outage and other special situation and maintain operation of awning. The results of the prototype test show that this system is running steadily and can adjust the working condition of the awning in time according to the environment change. Compared with the current electric awning, the intelligent folding arm awning controlled according to environmental factors can achieve more energy conservation and environmental protection

Three-Dimensional Indoor Mobile Mapping With Fusion of Two-Dimensional Laser Scanner and RGB-D Camera Data

Natural Foundation of Fujian Providence [2011J05159]; Fundamental Research Funds for Central Universities [2011121045]Three-dimensional mobile mapping in indoor environment, mostly global navigation satellite system-denied space, is to consecutively align the frames to build a global 3-D map of an indoor environment. One of the major difficulties of the current solutions is the failure at the insufficient overlapping between the frames, which is the reality of a lack of correspondences between the frames. To overcome this problem, a 3-D indoor mobile mapping system that integrates a 2-D laser scanner, and an RGB-Depth camera is presented in this letter. In this system, a fusion-iterative closest point (ICP) method, which combines the 2-D mobile platform pose from a Rao-Blackwellized particle filter estimation, an ICP, and a generalized-ICP method, is proposed for the consecutive frame alignment. Fusion-ICP achieves effective frame alignment, particularly in solving the insufficient overlapping frame alignment problem. Comparative experiments were conducted to evaluate the mapping system. The experimental results demonstrate the effectiveness and efficiency of our system for 3-D indoor mobile mapping

Solar powered automatic controlled advertising light box system

Conference Name:2011 International Conference on Mechanical Engineering, Materials and Energy, ICMEME 2011. Conference Address: Dalian, China. Time:October 19, 2011 - October 21, 2011.Trans Tech Publications Inc.; BOSI Education and Consultancy Co., LtdThis paper introduces a solar powered automatic controlled advertising light box system functioning box rotation and poster cycling displaying of each panel, which overcomes the disadvantages of ordinary advertising light boxes of humdrum displaying and high energy consumption. The system includes three parts which are box rotation system, poster scrolling system and single-axis sun tracking system which can improve the solar energy efficiency and reduce energy consumption. Sun tracking system which effectively combined the sun angle tracking and photoelectric tracking method can automatically switch between the work mode and hibernate mode according to time and weather condition so as to maximize energy efficiency. A hierarchical control strategy which contained main control system and sun tracking system is adopted to control light box rotation, panel displaying and sun tracking at the same time. The solar advertising light box system was verified by tests that with the hierarchical control strategy the power generated by solar panel increased 38.2% than fixed panel. Experiment results show that the light box works stably and has potential to apply under the situations where cable laying is not convenient. 漏 (2012) Trans Tech Publications, Switzerland