Yuantao Li

Northeast Institute of Geography and Agroecology, Beijing, Beijing Shi, China

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Publications (4)0 Total impact

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    ABSTRACT: In this paper, we present a novel camera calibration method which requires only a few easy attainable lane markings in traffic scenes. All we need to know beforehand are a pair of parallel lane markings with known lane width and either the camera height or the length of a land marking parallel to the road. If the camera height is known a-prior, a set of camera parameters such as the focal length, the tilt angle, and the pan angle can be recovered; if the length of a land marking parallel to the road is known a-prior, not only the above camera parameters, but the camera height can also be recovered. We show experimentally that the proposed method is capable of achieving accurate results in most traffic monitoring applications, including inverse perspective transformation and even 3-D estimation of vehicle dimensions.
    Vehicular Electronics and Safety, 2007. ICVES. IEEE International Conference on; 01/2008
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    ABSTRACT: 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.
    Intelligent Vehicles Symposium, 2007 IEEE; 07/2007
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    ABSTRACT: This paper presents the multi-agent architecture for artificial transportation system. In this architecture, Petri net is used as basic model to represent agents. At an intersection, the agents are divided into two groups: one for the traffic-signal and the other for the vehicle flow, which are integrated to represent the behavior of this intersection. In addition, those agents can be used as the modularity to represent urban network of more scale. To coordinate different intersection agents, game theory is used to design coordination strategy between agents. The iterated elimination of strictly dominated strategies algorithm is presented to find Nash equilibrium
    Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE; 10/2006
  • Yuantao Li, F. Wang, Feng He, Z. Li
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    ABSTRACT: This paper describes the OSGi-based automotive specifications that improves the standard and integrates a great many existing automotive protocols and automotive networks. A key element of this specification is the OSGi-based automotive framework, which is open standard based, service-oriented infrastructure for provisioning, managing and developing telematics services. By using the technology of J2ME and extending the dynamic service deployment of OSGi, and integrating intelligent agent society, the mobile devices of automobile can access, download and use the various services from plenty of various service provider. The OSGi-based oriented-service automotive architecture is analyzed from the application and implementation points of view. Finally, the authors depict the tremendous benefits that OSGi platform technology offers in automotive networks and briefly discuss potential future work in this field.
    Intelligent Vehicles Symposium, 2005. Proceedings. IEEE; 07/2005