The Experts below are selected from a list of 14346 Experts worldwide ranked by ideXlab platform

Haijun Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish
    5G for Future Wireless Networks, 2018
    Co-Authors: Daxin Tian, Kunxian Zheng, Xuting Duan, Lu Kang, Hui Rong, Wenyang Wang, Kan Zheng, Peng Guo, Haijun Zhang
    Abstract:

    Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the Movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the Cooperative Movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles.

  • 5GWN - Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2017
    Co-Authors: Daxin Tian, Xuting Duan, Hui Rong, Wenyang Wang, Peng Guo, Zheng Kunxian, Haijun Zhang
    Abstract:

    Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the Movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the Cooperative Movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles.

Zijie Yuan - One of the best experts on this subject based on the ideXlab platform.

  • remote video figure achieves smooth Cooperative Movement in a bidirectional telepresence robot environment
    International Conference on Collaboration and Technology, 2018
    Co-Authors: Tomoo Inoue, Zijie Yuan
    Abstract:

    This paper presents a study of telepresence robot environment where each of two remote sites has a telepresence robot from the other. By situating the telepresence robots in the relatively same positions of the remote users in both sites, collaborative physical environment can be realized when the users wear head-mounted displays to see the robots’ views. Such an environment has been implemented as a prototype system. Because how to achieve physical Cooperative Movement between a telepresence robot and a human is an issue to be studied in this environment, an experimentation of passing by each other with the prototype system was then conducted as an example of Cooperative Movement. It was observed that the Movement was smoother when watching the video from the telepresence robot than when watching the other telepresence robot in front of the user. It suggests the usefulness of nonverbal cues through video combined with the recognition of partner’s position.

  • CRIWG - Remote Video Figure Achieves Smooth Cooperative Movement in a Bidirectional Telepresence Robot Environment
    Lecture Notes in Computer Science, 2018
    Co-Authors: Tomoo Inoue, Zijie Yuan
    Abstract:

    This paper presents a study of telepresence robot environment where each of two remote sites has a telepresence robot from the other. By situating the telepresence robots in the relatively same positions of the remote users in both sites, collaborative physical environment can be realized when the users wear head-mounted displays to see the robots’ views. Such an environment has been implemented as a prototype system. Because how to achieve physical Cooperative Movement between a telepresence robot and a human is an issue to be studied in this environment, an experimentation of passing by each other with the prototype system was then conducted as an example of Cooperative Movement. It was observed that the Movement was smoother when watching the video from the telepresence robot than when watching the other telepresence robot in front of the user. It suggests the usefulness of nonverbal cues through video combined with the recognition of partner’s position.

Daxin Tian - One of the best experts on this subject based on the ideXlab platform.

  • Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish
    5G for Future Wireless Networks, 2018
    Co-Authors: Daxin Tian, Kunxian Zheng, Xuting Duan, Lu Kang, Hui Rong, Wenyang Wang, Kan Zheng, Peng Guo, Haijun Zhang
    Abstract:

    Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the Movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the Cooperative Movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles.

  • 5GWN - Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2017
    Co-Authors: Daxin Tian, Xuting Duan, Hui Rong, Wenyang Wang, Peng Guo, Zheng Kunxian, Haijun Zhang
    Abstract:

    Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the Movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the Cooperative Movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles.

Tomoo Inoue - One of the best experts on this subject based on the ideXlab platform.

  • remote video figure achieves smooth Cooperative Movement in a bidirectional telepresence robot environment
    International Conference on Collaboration and Technology, 2018
    Co-Authors: Tomoo Inoue, Zijie Yuan
    Abstract:

    This paper presents a study of telepresence robot environment where each of two remote sites has a telepresence robot from the other. By situating the telepresence robots in the relatively same positions of the remote users in both sites, collaborative physical environment can be realized when the users wear head-mounted displays to see the robots’ views. Such an environment has been implemented as a prototype system. Because how to achieve physical Cooperative Movement between a telepresence robot and a human is an issue to be studied in this environment, an experimentation of passing by each other with the prototype system was then conducted as an example of Cooperative Movement. It was observed that the Movement was smoother when watching the video from the telepresence robot than when watching the other telepresence robot in front of the user. It suggests the usefulness of nonverbal cues through video combined with the recognition of partner’s position.

  • CRIWG - Remote Video Figure Achieves Smooth Cooperative Movement in a Bidirectional Telepresence Robot Environment
    Lecture Notes in Computer Science, 2018
    Co-Authors: Tomoo Inoue, Zijie Yuan
    Abstract:

    This paper presents a study of telepresence robot environment where each of two remote sites has a telepresence robot from the other. By situating the telepresence robots in the relatively same positions of the remote users in both sites, collaborative physical environment can be realized when the users wear head-mounted displays to see the robots’ views. Such an environment has been implemented as a prototype system. Because how to achieve physical Cooperative Movement between a telepresence robot and a human is an issue to be studied in this environment, an experimentation of passing by each other with the prototype system was then conducted as an example of Cooperative Movement. It was observed that the Movement was smoother when watching the video from the telepresence robot than when watching the other telepresence robot in front of the user. It suggests the usefulness of nonverbal cues through video combined with the recognition of partner’s position.

Xuting Duan - One of the best experts on this subject based on the ideXlab platform.

  • Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish
    5G for Future Wireless Networks, 2018
    Co-Authors: Daxin Tian, Kunxian Zheng, Xuting Duan, Lu Kang, Hui Rong, Wenyang Wang, Kan Zheng, Peng Guo, Haijun Zhang
    Abstract:

    Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the Movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the Cooperative Movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles.

  • 5GWN - Modeling and Simulation on Cooperative Movement of Vehicle Group Based on the Behavior of Fish
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2017
    Co-Authors: Daxin Tian, Xuting Duan, Hui Rong, Wenyang Wang, Peng Guo, Zheng Kunxian, Haijun Zhang
    Abstract:

    Fatigue driving might affect the traffic safety when the vehicles are on the cruising state in highway. Trying to solve this problem, this paper uses the Movement pattern of the fish to the vehicles fleet, and develops a model of vehicle group with realistic restrictions based on the existed fish algorithms, the mobile behavioral model and cluster behavior model, and then demonstrates the feasibility of applying the fish behavior to the Cooperative Movement of vehicle groups through analyzing the trajectory, velocity and spacing of vehicles.