The Experts below are selected from a list of 16056 Experts worldwide ranked by ideXlab platform
Jinlong Chen - One of the best experts on this subject based on the ideXlab platform.
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An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation
Sensors, 2021Co-Authors: Minghao Yang, Jiaqing Zhang, Wu Xie, Baohua Qiang, Jinlong ChenAbstract:Indoor autonomous navigation refers to the perception and exploration abilities of mobile agents in unknown indoor environments with the help of various Sensors. It is the basic and one of the most important functions of mobile agents. In spite of the high performance of the single-Sensor navigation method, multi-Sensor Fusion methods still potentially improve the perception and navigation abilities of mobile agents. This work summarizes the multi-Sensor Fusion methods for mobile agents’ navigation by: (1) analyzing and comparing the advantages and disadvantages of a single Sensor in the task of navigation; (2) introducing the mainstream technologies of multi-Sensor Fusion methods, including various combinations of Sensors and several widely recognized multi-modal Sensor datasets. Finally, we discuss the possible technique trends of multi-Sensor Fusion methods, especially its technique challenges in practical navigation environments.
P. Kandasamy - One of the best experts on this subject based on the ideXlab platform.
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Integration of multiple Sensor Fusion in controller design
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002Co-Authors: Mohamed A. Abdel-rahman, P. KandasamyAbstract:In this paper we present a methodology for integrating multiple Sensor Fusion into the controller design. The Sensor Fusion algorithm produces in addition to the estimate of the measurand, a parameter that measures the confidence in the estimated value. This confidence is integrated as a parameter into the controller to produce fast system response when the confidence in the estimate is high, and a slow response when the confidence in the estimate is low. Conditions for the stability of the system with the developed controller are discussed. This methodology is demonstrated on a cupola furnace model. The simulations illustrate the advantages of the new methodology.
Minghao Yang - One of the best experts on this subject based on the ideXlab platform.
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An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation
Sensors, 2021Co-Authors: Minghao Yang, Jiaqing Zhang, Wu Xie, Baohua Qiang, Jinlong ChenAbstract:Indoor autonomous navigation refers to the perception and exploration abilities of mobile agents in unknown indoor environments with the help of various Sensors. It is the basic and one of the most important functions of mobile agents. In spite of the high performance of the single-Sensor navigation method, multi-Sensor Fusion methods still potentially improve the perception and navigation abilities of mobile agents. This work summarizes the multi-Sensor Fusion methods for mobile agents’ navigation by: (1) analyzing and comparing the advantages and disadvantages of a single Sensor in the task of navigation; (2) introducing the mainstream technologies of multi-Sensor Fusion methods, including various combinations of Sensors and several widely recognized multi-modal Sensor datasets. Finally, we discuss the possible technique trends of multi-Sensor Fusion methods, especially its technique challenges in practical navigation environments.
Liu Daxue - One of the best experts on this subject based on the ideXlab platform.
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A Time Synchronization Approach for Multi-Sensor Fusion
Computer Simulation, 2009Co-Authors: Liu DaxueAbstract:Time synchronization technology is very important in the application of multi-Sensor Fusion,it is one of the essential conditions for multi-Sensor Fusion project.A time synchronism method is proposed in local area network for increasing time synchronism precision.This method is easy to realize and provides very good time synchronism precision.The simulation experiment shows that this method can meet the time synchronization accuracy requirement of multi-Sensor Fusion when the network delay is limited.By the way,this approach also can meet the time synchronism precision demand(1ms) under increased network delay conditions.
Tzyh-jong Tarn - One of the best experts on this subject based on the ideXlab platform.
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ICRA - Temporal and spatial Sensor Fusion in a robotic manufacturing workcell
Proceedings of 1995 IEEE International Conference on Robotics and Automation, 1Co-Authors: Bijoy K. Ghosh, Tzyh-jong TarnAbstract:Discusses the problem of using visual and other Sensors in the manipulation of a part by a robotic manipulator in a manufacturing workcell. The authors' emphasis is on the part localization problem involved. The authors introduce a new Sensor-Fusion approach which fuses Sensory information from different Sensors at various spatial and temporal scales. Relative spatial information obtained from processing of visual information is mapped to absolute taskspace of the robot through fusing of information from an encoder. Data obtained this way can be superimposed upon data obtained from displacement based vision algorithms at coarser time scales to improve overall reliability. Tracking plans reflecting Sensor Fusion are proposed. The localization of a part by spatial Sensor Fusion is experimentally demonstrated to be able to give required fast and accurate part localization.
