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IEEE International Conference on Networking, Sensing and control

作者： Bo Li Qingming Yao Kunfeng Wang State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

Pedestrians are key participants in transportation systems, so pedestrian detection in video surveillance systems is of great significance to the research and application of Intelligent Transportation systems (ITS). We review some methods and models for vision-based pedestrian detection in recent years. In this paper, the pedestrian detection techniques are divided into macroscopic and microscopic according to different application in transportation systems. Macroscopic pedestrian detection aims to estimate crowd density without distinguishing each pedestrian, and microscopic pedestrian detection focuses on detection and recognition of individual pedestrians. The latter detection style is deeply studied, so it is presented in detail in this paper, especially for the feature-classifier-based detection method. Finally, the pedestrian detection algorithms are discussed and concluded from the viewpoint of video surveillance and ITS. Existing problems and future trends are presented in that section.

关键词： Feature extraction Shape Training Transportation Traffic control Video surveillance

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A novel parking control algorithm for a car-like mobile robot

A novel parking control algorithm for a car-like mobile robo...

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IEEE International Conference on Networking, Sensing and control

作者： Yaru Zhang Shuming Tang Zhilin Zhang State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

This paper proposes a novel algorithm for parking motion of a Car-like mobile robot. The algorithm presented here addresses calculating equations for planning a parking path in real time. Moreover, by incorporating the constraints of the mechanical and kinematical characteristics of the car and the geometry of the parking lot in the path planning, we can turn a parking problem into solving algebraic equations. By tracking a planned path, the Car-like mobile robot can drive into the parking area without hitting any boundaries. The efficiency of the proposed algorithm is demonstrated by simulation.

关键词： Vehicles Mobile robots Algorithm design and analysis Mathematical model Turning Equations Signal processing algorithms

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Rear lamp based vehicle detection and tracking for complex traffic conditions

Rear lamp based vehicle detection and tracking for complex t...

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IEEE International Conference on Networking, Sensing and control

作者： Ye Li Qingming Yao State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

In video surveillance system, detection and tracking of vehicles are two foundational and significant tasks. In this paper, a vehicle detection and tracking method based on rear lamp pairs is proposed. The proposed method combines color with motion information to perform vehicle detection. In order to adapt to different weather conditions like night, the rear lamps are divided into two categories: unlit lamps and lighted lamps. First, threshold segmentation are used to extract both the unlit and lighted lamp candidates in hue-saturation-value (HSV) color space and the thresholds are selected automatically by maximally stable extremal region (MSER) method. Then, all lamp candidates are tracked by using Kalman filter and lamp candidates with short-lived trajectories are removed to avoid disturbances. Next, two adjacent lamp candidates with similar speed are bound together as a region of interest (ROI), which represents a potential pair of lamps. Image cross-correlation symmetry analysis based on Gabor filter is utilized to find the ROIs with symmetrical texture and these symmetric ROIs can be regarded as pairs of lamps. The experimental results show that the proposed method can effectively deal with various illumination conditions and improve the accuracy and robustness of vehicle detection. In addition, this method can perform vehicle detection and tracking under complex traffic conditions and the Gabor filter based symmetry analysis can successfully suppress subtle difference between the left and right parts of a vehicle as well as environment noises.

关键词： Vehicles Image color analysis Vehicle detection Gabor filters Correlation Tracking Kalman filters

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A vehicle license plate recognition system based on analysis of maximally stable extremal regions

A vehicle license plate recognition system based on analysis...

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IEEE International Conference on Networking, Sensing and control

作者： Bo Li Bin Tian Qingming Yao Kunfeng Wang State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China

Vehicle License Plate Recognition (VLPR) system is a core module in Intelligent Transportation systems (ITS). In this paper, a VLPR system is proposed. Considering that license plate localization is the most important and difficult part in VLPR system, we present an effective license plate localization method based on analysis of Maximally Stable Extremal Region (MSER) features. Firstly, MSER detector is utilized to extract candidate character regions. Secondly, the exact locations of license plates are inferred according to the arrangement of characters in standard license plates. The advantage of this license plate localization method is that less assumption of environmental illumination, weather and other conditions is made. After license plate localization, we continue to recognize the license plate characters and color to complete the whole VLPR system. Finally, the proposed VLPR system is tested on our own collected dataset. The experimental results show the availability and effectiveness of our VLPR system in locating and recognizing all the explicit license plates in an image.

关键词： Licenses Image color analysis Character recognition Lighting Histograms Feature extraction Image segmentation

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Structural analysis and design of round belt drive snake-like robot

Structural analysis and design of round belt drive snake-lik...

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IET International Conference on Information Science and control Engineering 2012 (ICISCE 2012)

作者： Xuandon Su Junyao Gao Zhengyang Zhao Qianying Wu Chengzu Huang Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of education State Key Laboratory of “Intelligent control of complex systems and decision” School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian 100081 China

Twisting between adjacent modules drive is the main way to drive the snake-like robot. It is hard to build a mathematical model for the kind of snake-like robot and the control of it is very complex in the realistic environment. In purpose of developing a new kind of snake-like robot which is easy to model, a new way to drive snake-like robot which we call skin drive was invented. With this way, structure of snake-like robot can be very simple and easy to model. Besides control of snake-like robot can be simple. Eventually a snake-like robot was built and it is called round belt drive snake-like robot. Through some experiment and analysis, it is concluded that this new kind of snake-like robot is easy to model and easy to control and its structure is simple to build. In this paper, three important topics were analyzed and elaborated. They are round belt analysis and design, active pulley structure and guide pulley arrangement. Of course, some experiments were done to verify the round belt drive snake-like robot performance. Some experiment process and results were shown at the end in this paper.

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ACP based 3D Emergency Drills System for Petrochemical Plants

ACP based 3D Emergency Drills System for Petrochemical Plant...

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World Congress on Intelligent control and Automation

作者： Sifeng Jing Changjian Cheng Gang Xiong Xiwei Liu Xiuqin Shang Weixing Wang State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Dongguan Research Institute of CASIA Cloud Computing Industrial Technology Innovation and Incubation Center Chinese Academy of Sciences

ISBN: (纸本)9781467313971

To further enhance emergency management skills of an organisation's emergency response personnel, emergency response training, especially 3D emergency drill, is currently becoming more and more important in the petrochemical sector. So, a novel 3D emergency drills system is designed and developed based on ACP approach, which can be used for mocking emergency response plan drills and evaluating the plan. A case study reveals that the performance of the system is good and the system can meet the needs of emergency response training and optimizing emergency response plan in petrochemical plants.

关键词： ACP Approach Artificial systems Computational Experiments Parallel Execution Mock-Drill Emergency Response Training

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Human behavior model and its application on performance management in a chemical plant workshop

Human behavior model and its application on performance mana...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Han, Feng Liu, Xiwei Shang, Xiuqin Cheng, Changjian Li, Bo Fan, Dong Olefine Plant SINOPEC Qilu Petrochemical Co. Ltd. Zibo China School of Chemical Engineering Beijing University of Chemical Technology Beijing China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

To investigate the influences of performance management rules on human behavior in a chemical plant workshop, we construct an artificial workshop. It mainly contains human behavior model, workshop environment model including the definition of work position performance management rules and production events, and their interaction rules. The human behavior model is built based on DISC (Dominance, Influence, Steadiness, Compliance) behavior model and the Agent technology. A platform for workshop human behavior computing is finally created for computational experiments on performance management and decision-making. The platform can be used as a support for refined management in the chemical plant. © 2012 IEEE.

关键词： Chemical plants

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Business model transformation as an explanation of dramatic demand-supply change events

Business model transformation as an explanation of dramatic ...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Tuomisaari, Hannu Nyberg, Timo Karjalainen, Jesse Mäkelin, Matti Ou, Jin Ma, Hongze Xiong, Gang Tynjälä, Teemu Business Innovation and Technology Research Unit School of Science Aalto University Espoo Finland Stora Enso Timber Ltd. Helsinkiy Finland Accenture Helsinki Finland State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Nokia Corporation Helsinki Finland

ISBN: (纸本)9781467324007

This paper discusses Business Model transformation in corporate turnaround events. This is accomplished with a Business Model Framework and by studying a set of cases, where demand-supply constellation has dramatically changed. The cases are from Finland (Nokia) and China (Baidu). A fourth case compares two business models with each other that existed simultaneously, but in different parts of the world. © 2012 IEEE.

关键词： Oceanography

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Planning and Dispatching of Hybrid Renewable Power System Based on Portfolio Theory

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Energy Procedia 2012年 14卷 241-246页

作者： Hu Zhi Yan Zheng Jiang Wen Key Laboratory of Control of Power Transmission and Transformation Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta 30309 United States

Renewable energies are growing fast and have occupied great percentage in power generation. However, one major drawback of most renewable energies is the variability due to the stochastic nature of wind speed, solar irradiation, and etc. It is important to integrate the risk of wind power's uncertainty into profitability assessments for investors. In this paper, certain effective ideas from portfolio theory in financial engineering field are exploited to deal with renewable energies as risky assets to be invested. It's a systematic way to neutralize risks as well as maximize return values. To adjust these financial tools used to solve renewable energy's problem, some other financial models and concepts are introduced. Time Series models, ARMA (autoregressive moving average), GARCH (generalized autoregressive conditional heteroscedasticity) and PSO (particle swarm optimization) algorithm are utilized to modify data to be real-time effective. Utility function is introduced to evaluate different energy resources. This paper is abundant with interdisciplinary ideas using advanced risk management methods on renewable energy issues. The proposed approach is also applied in real world problem to provide consulting evidence for power system planning and dispatching in Gansu province, northwest of China.

关键词： Portfolio Theory Renewable Energy Risk Management Utility Function ARMA-GARCH PSO

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Learning control of dynamical systems based on Markov decision processes: Research frontiers and outlooks

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Zidonghua Xuebao/Acta Automatica Sinica 2012年第5期38卷 673-687页

作者： Xu, Xin Shen, Dong Gao, Yan-Qing Wang, Kai Institute of Automation College of Mechatronic Engineering and Automation National University of Defense Technology Changsha 410073 China Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Beijing 100190 China Department of Systems and Industrial Engineering University of Arizona Tucson AZ85721-0020 United States Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China

Learning control of dynamical systems based on Markov decision processes (MDPs) is an interdisciplinary research area of machine learning, control theory, and operations research. The main objective in this research area is to realize data-driven multi-stage optimal control for complex or uncertain dynamical systems. This paper presents a comprehensive survey on the theory, algorithms, and applications of MDP-based learning control of dynamical systems. Emphases are put on recent advances in the theory and methods of reinforcement learning (RL) and adaptive/approximate dynamic programming (ADP), including temporal-difference learning theory, value function approximation for continuous state and action spaces, direct policy search, approximate policy iteration, and adaptive critic designs. Applications and the trends for future research and developments in related fields are also discussed. Copyright © 2012 Acta Automatica Sinica. All rights reserved.

关键词： Markov processes

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