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开源软件名称(OpenSource Name):utexas-air-fri/wifi_localization开源软件地址(OpenSource Url):https://github.com/utexas-air-fri/wifi_localization开源编程语言(OpenSource Language):Python 58.0%开源软件介绍(OpenSource Introduction):WiFi LookupROS based WiFi location code developed for the Building Wide Intelligence Project at The University of Texas. This branch is for a catkin specific version of the code, made for integration with ros hydro. OverviewThis package consists of three parts to accomplish localization. They include:
This package has no external ROS package dependencies. Usage instructions###wifi_data The wifi_data requires the presence of the UNIX command "iwlist". If not present, install it with:
To run this node, run the following command
It will then being broadcasting a topic named "wifi_data" which holds a custom data type, containing an array of access point ESSIDs (MAC), and their respective decibel levels (dB). Additionally, the topic has a "length", which stores the size of the array. ###wifi_listener This node requires that wifi_data be running. To run this node, run the following command
where x and y are the current coordinates of the robot's location. To save the data at this point, the node must be killed. This serializes the constructed data tables and stores the data seen to the point passed as a parameter. Simply run this node with the correct parameters, wait a second to gather data at the point, and kill the node. This process must be repeated at each location. ###wifi_publisher (Not Working: Unfinished) This node requires that wifi_data be running, and a map has been built from wifi_listener To run this node, run the following command
where map file is the location of the .pk file created by wifi_listener. Once running, this node will publish an array point messages. The array's first index will contain the point at which the node believes the robot most likely located, which each subsequent point decreasing in probability. Additional InformationThis node was created by Robert Lynch and Josh Eversmann for the Freshman Research Initative at the University of Texas in the Spring of 2013. For more information on the project, check the Building Wide Intelligence wiki (a user and password is required): BWI Wiki |
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