Research

3D Localization in Ad Hoc Sensor Network with Embedded Camera and LEDs

  • Arata Hirokawa and Kosuke Sato, 3D Localization in Ad Hoc Sensor Network with Embedded Camera and LEDs, Transactions of the Society of Instrument and Control Engineers, Volume E-S-1, No.1, pp. 91-96 (2006).

3D Localization in Ad Hoc Sensor Network with Embedded Camera and LEDs
  In sensor networks, the location measure is one of the most important information. The simplest way to know the location of sensor nodes is to put a GPS receiver to each node. But this way is not suitable to indoor sensor networks. There are many researches of the location information. In this paper, we propose a new model for localizing in sensor networks with image sensing. We assume that the proposed models may be suitable to indoor sensor networks. Each sensor node, which mounts a camera and infrared LEDs, detects its 3D location by taking a set of images from the embedded camera. The 3D location information will be informed to other nodes via wireless communication. From simulations and experiments of a prototype sensor network with tiny CMOS embedded camera, we conャ〉med that it is able to detect 3D location information based on the proposed 3D localizing models in a real scene.
  

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3D Localization and Optical Communication in Ad Hoc Sensor Network with Embedded Camera and LEDs

  • Arata Hirokawa and Kosuke Sato, 3D Localization and Optical Communication in Ad Hoc Sensor Network with Embedded Camera and LEDs, Second International Workshop on Networked Sensing Systems (INSS2004), pp. *-* (2005)

3D Localization and Optical Communication in Ad Hoc Sensor Network with Embedded Camera and LEDs
  In sensor networks, the location measurement is one of the most important research issues. In this paper, we propose amodel of sensor network for localizing in sensor networks with image sensing and optical communication. We assumethat the proposed system is suitable to indoor sensor networks, especially in case of radio noisy environments. Eachsensor node whose location is unknown captures an image sequence dynamically. The sensor node recognizes the ID ofreference location LED by capturing the blinking LEDs. The node obtains a set of the location information of the LEDsin the image sequence, and derives the 3D location itself. From simulations and experiments with a prototype sensornetwork, we confirm that it can detect the correct 3D location information with the proposed 3D localization model in areal scene.
  

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3D Localization in Ad-hoc Sensor Network with Embedded Cameras

  • Arata Hirokawa and Kosuke Sato, 3D Localization in Ad-hoc Sensor Network with Embedded Cameras, First International Workshop on Networked Sensing Systems (INSS2004), pp. 36-39 (2004).

3D Localization in Ad-hoc Sensor Network with Embedded Cameras
  In sensor networks, the location measure is one of the most important information. The simplest way to know the location of sensor nodes is to put a GPS receiver to each node. But this way is not suitable to indoor sensor networks. There are many researches about detecting the location information. In this paper, we propose a model for localizing in sensor networks with image sensing. We assume that the proposed system may be suitable indoor sensor networks. With each sensor node, which a camera and an infrared ray LED embedded, the network controls infrared LEDs of nodes and detects 3D location information of one node whose location is unknown with image processing. In the proposed system, the network turns on LEDs of nodes sequentially, whose 3D location is known, and a node whose location is unknown takes a set of image by the embedded camera, and 3D location information will be derived from the coordinates of nodes whose location is known in each captured image. From simulations and experiments with a prototype sensor network, we confirm that it can detect 3D location information with the proposed 3D localization model in a real scene.
  

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