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Dive into the research topics where Yunfeng Ai is active.

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Featured researches published by Yunfeng Ai.


international conference on networking, sensing and control | 2005

An OSGi and agent based control system architecture for smart home

Haitao Zhang; Fei-Yue Wang; Yunfeng Ai

This paper presents a mobile-agent and OSGi based three-tier control system architecture for smart home. In the OSGi platform of home gateway, UPnP technology and intelligent agent technology works together to achieve automation of devices discovery, registry, and management. By means of OSGi middleware and mobile agent technology, the proposed hierarchical architecture supports remote devices control and fault diagnosis, dynamic service provisioning, flexible system performance management, integration of heterogeneous devices, and agent-based distributed control.


ieee intelligent vehicles symposium | 2007

On Automatic and Dynamic Camera Calibration based on Traffic Visual Surveillance

Yuantao Li; Fenghua Zhu; Yunfeng Ai; Fei-Yue Wang

This paper presents a novel automatic and dynamic camera calibration algorithm based on traffic visual surveillance. The algorithm can automatically calibrate the intrinsic and extrinsic parameters of camera, and offer enough guarantee to extract traffic real-time parameters. This paper firstly indicates the significance of applying automatic and dynamic calibration algorithm to intelligent transportation system, then establishes a mathematical model of calibration parameters between camera image and actual road. The algorithm is established from three view points, which are description, flow chart and algorithm description. Afterward this paper describes the experimental method and result based on this novel algorithm. Finally this paper indicates wide application foreground of this algorithm in intelligent transportation system.


international conference on vehicular electronics and safety | 2007

OSGi based integrated service platform for automotive telematics

Yunfeng Ai; Yuan Sun; Wuling Huang; Xin Qiao

With the enormous market potentials of telematics industry and for further gains in safety and convenience, automotive telematics has become a hot R&D area in mobile computing and ITS. Quite a number of telematics services have been proposed by automakers and third-party service providers. This paper describes an OSGi based in-vehicle telematics service platform, by which telematics services can be accessed by end users. Both the hardware and software platforms are analyzed from the application and implementation points of view. Finally, application examples are introduced and some concluding remarks are drawn for this paper.


world congress on intelligent control and automation | 2004

Design considerations on intelligent tires utilizing wireless passive surface acoustic wave sensors

Xiangwen Zhang; Zhixue Wang; Leifu Gai; Yunfeng Ai; Fei-Yue Wang

The design level of the intelligent tire utilizing wireless passive surface acoustic wave (SAW) sensors decided its practicability. We have developed a wireless passive SAW sensor with two sides of SAW delay lines. It can measure the tire pressure and temperature at the same time. The basic structure of intelligent tires utilizing this SAW sensor is presented. In the design, deformation sensitivity coefficient, temperature sensitivity coefficient and electromechanical coupling factor of SAW sensor substrate were defined as the factors of choice of the substrate. The sensors were coded by reflectors. In the signal processing, the method of averaging the received pulses in a few periods was used to increase signal-noise-ratio (SNR). In the decision-making of the tire state, we consider the trend of the tire pressure variation and the relation of tire pressure and tire temperature to increase the tires intelligent level. All the considerations improved the practicability of this intelligent tire.


international conference on intelligent transportation systems | 2012

A survey of urban traffic signal control for agent recommendation system

Cheng Chen; Fenghua Zhu; Yunfeng Ai

Dynamic changes and uncertainty in traffic environments directly spawned lots of strategies about traffic signal control (TSC). Meanwhile, the differences in the traffic environment and demand of control have a significant impact on the performance of strategies about TSC. In order to enable dynamic selection of the most appropriate TSC agents for each specific traffic state in urban traffic transportation system, we firstly propose a survey about urban TSC, which helps us to understand the characteristics of TSC strategies. This survey focuses on the traffic environment about the application of TSC and the demand of TSC. Then, based on the aforementioned survey, we propose one recommendation mechanism for agent-based distributed and adaptive platform for transportation systems to adapt to traffic dynamic characteristic.


international conference on intelligent transportation systems | 2008

A Hierarchical Bus Rapid Transit System Based on Wireless Sensor Networks

Wuling Huang; Shuming Tang; Zhenjiang Li; Fenghua Zhu; Yunfeng Ai

Bus rapid transit (BRT) system is the key technology of intelligent transportation systems (ITS). This paper is about the research on a hierarchical BRT system based on multi-tier wireless sensor networks (WSN). It maps the features of WSN to BRT system and provides solutions for BRT technologies, such as transit signal priority.


international conference on mechatronics | 2006

Time Analysis of Scheduling Sequences Based on Petri Nets for Distributed Real-Time Embedded Systems

Haitao Zhang; Yunfeng Ai

After modeling distributed embedded systems using time Petri nets based on resources, scheduling analysis is complex. Therefore, the combination and decomposition of scheduling sequences are introduced to simplify the analysis of complex scheduling sequences. Then two simplification rules are introduced to simplify the time constriction of every transition in scheduling sequence. At last, all properties of scheduling sequence can be gotten by comparing time constriction and deadline interval of every transition


international conference on intelligent transportation systems | 2003

A hybrid vehicle model for advanced cruise control

Qunzhi Zhou; Yunfeng Ai; Haojun Bao

In this paper, a hybrid vehicle model is presented. Different factors affecting vehicle dynamics referred in modern cruise control concepts are modeled in three sub-models: a complemented two-track chassis model, an aerodynamic model and LuGre based 2D tire models. We show that the good incorporation of these subsystems contributes to an accurate reproduction of the vehicle driving behavior, and also contributes to the developments of advanced cruise control systems.


european symposium on algorithms | 2008

An Integrated Automotive Software Development and Validation System Based on CASOS-OSEK

Wuling Huang; Xin Qiao; Yunfeng Ai; Qingming Yao; Hui Gao

To improve the efficiency of automotive software design and meet the complexity of real-time distributed system, this paper brings out an integrated software development and validation platform, which is based on a real-time, OSEK/VDX compliant Control Application Specific Operating System (CASOS-OSEK). System time and power constrained analysis is presented as case study.


international conference on vehicular electronics and safety | 2016

Vision-based autonomous landing for rotorcraft unmanned aerial vehicle

Chaoyan Bu; Yunfeng Ai; Huajun Du

Recently, there has been growing interest in developing rotorcraft unmanned aircraft system (RUAS) based on visual sensors. Among basic phases for autonomous flight, autonomous landing is the most challenging process. For most of RUAS, visual sensors are widely used during the landing maneuver. This paper first gives a classification of landmarks on the helipad and summarizes the general implementation steps of vision system. Then it introduces the dynamic model of rotorcraft unmanned aircraft vehicle (RUAV) and summarizes two implementation methods of control system. Next it classifies some control techniques and introduces them. Finally, the paper summarizes current related work and classifies them depending on the type of landmarks.

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Fenghua Zhu

Chinese Academy of Sciences

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Wuling Huang

Chinese Academy of Sciences

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Fei-Yue Wang

Chinese Academy of Sciences

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Qingming Yao

Chinese Academy of Sciences

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Zhenjiang Li

Chinese Academy of Sciences

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Haitao Zhang

Chinese Academy of Sciences

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Xin Qiao

Chinese Academy of Sciences

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Cheng Chen

Chinese Academy of Sciences

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Qunzhi Zhou

Chinese Academy of Sciences

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Shuming Tang

Chinese Academy of Sciences

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