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Design and development of vehicle license plate recognition (VLPR) system to improve parking lot management

9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Chen, Yong Hu, Bin Li, Bo He, Qing Mo, Hong Xiong, Gang College of Electric and Information Changsha University of Science and Technology Changsha 410004 China Cloud Computing Center Chinese Academy of Sciences Dongguan 523808 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing 100190 China

ISBN: (纸本)9783037858639

In this paper, we design and develop Vehicle License Plate Recognition (VLPR) System, which is one part of comprehensive video management platform for parking lot. Combined with intelligent video analysis module, the proposed VLPR system can not only capture the license plates of those vehicles through ENTRANCE and EXIT of parking lot, but also recognize the contents of the captured license plates. In addition, the driver and passenger in the front row of the vehicle can be captured too. The capture subsystem operates well on embedded Linux environment running on Hi3516 SoC chip, and test results of the VLPR system meet the requirements of accuracy and real-time field applications. The VLPR system is easy to expand and modified for other management Information System to realize functions like personnel management, vehicle tracking, and more automatic and intelligent functions of parking lot management. © (2013) Trans Tech Publications, Switzerland.

关键词： License plates (automobile)

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Mechanical Design of the Legs of Hydraulically Actuated Quadruped Bionic Robot

Mechanical Design of the Legs of Hydraulically Actuated Quad...

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2013 ICME International Conference on complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Xin Li Wentao Sun Junyao Gao Xingguang Duan Qiang Huang Hui Li Huaxin Liu Wenxue Zhao Zhe Xu Yi Liu Intelligent Robotics Institute State Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent control and decision of complex systems School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian Beijing 100081 China

ISBN: (纸本)9781467329705

This paper discusses the design of the mechanical structure of a quadruped robot and a three-dimensional simulation model is built under Adams simulating the mechanism's motion to capture the dynamic characteristics of the quadruped *** paper analyses the effect of the length of legs on the walking structure from different aspects: its movement speed,capability of climbing obstacles and the workspace of its foot *** addition,to achieve the optimization target of balancing the output force of each hydraulic cylinder,the paper establishes a mathematical model under required constraints working out the lever members that accommodated with the *** all these factors,the most satisfied structural parameters of the autonomous quadruped robot are selected.

关键词： hydraulic quadruped robot the output force of the hydraulic cylinder structural parameters

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MODULAR HIERARCHICAL FEATURE LEARNING WITH DEEP NEURAL NETWORKS FOR FACE VERIFICATION

MODULAR HIERARCHICAL FEATURE LEARNING WITH DEEP NEURAL NETWO...

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IEEE International Conference on Image Processing

作者： Xue Chen Baihua Xiao Chunheng Wang Xinyuan Cai Zhijian Lv Yanqin Shi State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Institute of Science and Technology Information

ISBN: (纸本)9781479923427

Feature representations play a crucial role in modern face recognition systems. Most hand-crafted image descriptors usually provide low-level information. In this paper, we propose a novel feature learning method based on deep neural networks to obtain high-level, hierarchical representations for face verification. Learning proceeds in two phases. In the pre-training phase, we train Restricted Boltzmann Ma-chine(RBM) networks for each modular region in the image separately. In the fine-tuning phase, in order to develop good discriminative ability, we stack the RBM networks of each region in deep architecture and combine deep learning with side information constraints in the whole image scale. Finally, we formulate the proposed method as an appropriate optimization problem and adopt gradient descent algorithm to get the optimal solution. We evaluate our method on the LFW dataset. Representations learned from the networks achieve comparable performance (93.11%) to the state-of-art method.

关键词： deep neural networks feature learning face verification face verification Modularity Neural network image scale face recognition system Face Verification

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Application of vector ordinal optimization to the transportation systems with agent based modelling

Application of vector ordinal optimization to the transporta...

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Shen, Z. Wang, K. Wang, F.-Y. State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences No. 95 Zhongguancun E. Road Beijing 100190 China Centre for Military Computational Experiments and Parallel Systems Technology College of Mechatronics Engineering and Automation National University of Defense Technology Changsha 410073 Hunan Province China

ISBN: (纸本)9781479915156

As the computing technology develops, micro-simulation becomes more and more important in the intelligent Transportation systems (ITS) research, because it can provide detailed descriptions of the system. However, for a multi-agent systems (MAS) modelling of an ITS, the computation burden is large, as it involves the computation of the state changing of all the agents. Further, if we consider simulation based optimization, which can be simply understood as an intelligent way of running a number of micro-simulations, the computation burden is huge. Moreover, there are multiple objective optimization problems in the ITS. The Vector Ordinal Optimization (VOO) method is a powerful tool for multi-objective optimization. In this paper, we apply VOO to the problem of optimizing the stop times and delay time of an ITS. We test the method on a 4 intersection lattice road network, and on the 18 intersection road network of the Zhongguancun area of Beijing. Compared with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) method, the VOO method can achieve a speedup of factor of more than 150, with only a little sacrifice of performance. © 2013 IEEE.

关键词： Multiobjective optimization

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Modeling, control and software implementation of astronomical tracking of focus cabin suspension of FAST

Modeling, control and software implementation of astronomica...

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IEEE International Conference on Robotics and Biomimetics

作者： Jianlin Hao Fengshui Jing Guodong Yang Zize Liang Lichun Zhu The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China the Measurement and Control group Chinese Academy of Science Bejing China

This article describes the control algorithm and software implementation of astronomical tracking based on the mechanical analysis for Five-hundred-meter Aperture Spherical Telescope(FAST) that is being built in Guizhou province of China, which aims to help astronomers resolve questions in cosmology. On the basis of position and attitude feedback algorithm of cable driven parallel robot, the control of X-Y positioner with feed-forward was introduced and the astronomical tracking experiments were conducted on scale model to verify the validity of control strategy. The future works for focus cabin suspension of FAST are also pointed out.

关键词： Receivers Parallel robots Attitude control Force Software Suspensions Communication cables

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Trot Pattern Generation for Quadruped Robot Based on the ZMP Stability Margin

Trot Pattern Generation for Quadruped Robot Based on the ZMP...

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2013 ICME International Conference on complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Si Zhang Yi Liu Zhe Xu Junyao Gao Xingguang Duan Hui Li Zhangguo Yu Xuechao Chen Jing Li Huaxin Liu Xin LI Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mechatronical Engineering Beijing Institute of Technology 5 Nandajie Zhongguancun Haidian Beijing 100081 China

ISBN: (纸本)9781467329705

Quadruped robot is expected to serve in complex conditions such as mountain road,grassland,etc.,therefore we desire a walking pattern generation that can guarantee both the speed and the stability of the quadruped *** order to solve this problem,this paper focuses on the stability for the tort pattern and proposes trot pattern generation for quadruped robot on the basis of ZMP stability *** foot trajectory is first designed based on the work space *** the ZMP and stability margin is computed to achieve the optimal trajectory of the midpoint of the hip joint of the *** angles of each joint are finally obtained through the inverse kinematics ***,the effectiveness of the proposed method is demonstrated by the results from the simulation and the experiment on the quadruped robot in BIT.

关键词： Quadruped robot ZMP stability margin Trot pattern

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Self-generation Voting Based Method for Handwritten Chinese Character Recognition

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Acta Automatica Sinica 2013年第4期39卷 450-454页

作者： Yun-Xue SHAO Chun-Heng WANG Bai-Hua XIAO Lin-Bo ZHANG State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China China Academy of Transportation Sciences Beijing 100029 China

Voting strategy is very useful in pattern recognition. Many methods, like Boosting and Bagging, are proposed and are successfully used in some applications using this strategy. However, these methods are infeasible or unsuitable for handwritten Chinese character recognition because of the problem's characteristics. In this paper, a self-generation voting method is proposed for further improving the recognition rate in handwritten Chinese character recognition. This method learns a set of parameters first for generating a set of samples from the test sample, and then classify these generated samples using a base-line classifier. At last, it gives the final recognition result by voting. Experimental results on two databases show that the proposed method is effective and useful in handwritten Chinese character recognition systems.

关键词： Handwritten Chinese character recognition self-generation voting modified quadratic discriminant function line density equalization

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Facility layouts based on differential evolution algorithm

Facility layouts based on differential evolution algorithm

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IEEE International Conference on Robotics and Biomimetics

作者： Jing Tao Peng Wang Hong Qiao Zhipeng Tang Research Center of Precision Sensing and Control Institute of Automation Beijing China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479927456

Facility layout problem (FLP) which deals with the placement of facilities in the plant area is one of the most critical problems in manufacturing systems design. This paper presents a novel facility layout approach based on differential evolution (DE) algorithm. Firstly, mathematical model with constraints for the FLP is established. Then, a new facility layout algorithm based on DE is proposed, which can improve the convergence rate by using the interference checking method. Finally, a simulation platform with three-dimensional visualization is developed. The comparison experiments of the proposed method and genetic algorithm (GA) based on robot work cell layout problem show that the proposed method converges faster and can obtain better optimal layout.

关键词： Layout Optimization Mathematical model Algorithm design and analysis Interference Manipulators

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GPU based Non-dominated Sorting Genetic Algorithm-II for Multi-objective Traffic Light Signaling Optimization with Agent Based Modeling

GPU based Non-dominated Sorting Genetic Algorithm-II for Mul...

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International IEEE Conference on intelligent Transportation systems

作者： Z. Shen K. Wang F. Y. 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 Center for Military Computational Experiments and Automation the National University of Defense Technology (NUDT)

ISBN: (纸本)9781479929153

Micro-simulation becomes more and more important in the intelligent Transportation systems (ITS) research, because it can provide detailed descriptions of the system. For a multi-agent systems (MAS) modeling of an ITS, the computation burden is large, as it involves the computation of the state changing of all the agents. And, there are many multi-objective optimization problems in the ITS research. In this paper, we solve the traffic light signaling optimization problem and we take the average delay time and the average stop times as two objectives. We use a famous method of Non-dominated Sorting Genetic Algorithm II (NSGA-II). As NSGA-II can be viewed as an intelligent way of running a number of micro-simulations, usually the computation burden is huge. Graphics Processing Units (GPUs) have been a popular tool for parallel computing. The real transportation system runs in parallel and we think that a parallel tool is more suitable for the simulation and optimization of the system. We test GPU based NSGA-II method on a 4 intersection lattice road network, and on the 18 intersection road network of the Zhongguancun area of Beijing. Compared with the CPU version, the GPU version implementation achieves a speedup factor of 21.46 and 27.64 respectively.

关键词： Traffic lights intelligent transportation systems Graphics Processing Unit GRAPPER PICK UP speedup factor Agents state Change grade intelligent Tutoring systems Genetic Algorithm (GA) road network transport system arithmetic Multi-agent systems

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A multi-scale model integrating multiple features for vehicle detection

A multi-scale model integrating multiple features for vehicl...

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International Conference on intelligent Transportation

作者： Ye Li Fei-Yue Wang Bo Li Bin Tian Fenghua Zhu Gang Xiong Kunfeng Wang Institute of Automation State Key Laboratory of Management and Control for Complex Systems Beijing China Chinese Academy of Sciences Cloud Computing Center Dongguan China

In traffic video surveillance systems, vehicles with various distances from the camera have different sizes, resolutions, and angles in traffic images. The common multi-scale method, which scales one vehicle template or the input image for detecting vehicles with different sizes, may fail to detect vehicles with various distances from the camera due to the change of the resolution and angle. To deal with this problem, we have proposed a multi-scale model including multiple templates with different scales and features. Our method includes two steps: constructing the multi-scale model and its probability model, and detecting vehicles from traffic images. In the first step, the multi-scale model is constructed by using three templates T 1 , T 2 , T 3 which represent vehicles with the short, medium, and long distance from the camera respectively. Each template contains one or some combination of sketch, texture, flatness, and color. In the second step, the three templates are applied for vehicle detection by using the template matching with local maximization operations. The main innovation of this paper is that the combination of multi-template and multi-scale method is applied to detect vehicles with various distances from the camera. To test our method, we have done several experiments on various traffic conditions. The experimental results show that our method effectively copes with vehicles with various distances from the camera and provides the detailed vehicle information after vehicle detection. Moreover, our method adapts to various weather conditions, slight pose variance, and slight occlusion.

关键词： Vehicles Vehicle detection Image color analysis Cameras Image edge detection Training Image resolution

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